app.json

[{"name":"server.R","content":"#\r\n# This is the server logic of the Income Explorer Shiny web application. You can\r\n# run the application by clicking 'Run App' above.\r\n#\r\n\r\nsuppressMessages({\r\n  library(shiny)\r\n  library(shinyjs)\r\n  library(shinyvalidate)\r\n  library(openxlsx)\r\n  library(magrittr)\r\n  library(data.table)\r\n  library(zip)\r\n})\r\n\r\n# Define server logic required to run the app\r\nshinyServer(function(input, output, session) {\r\n  ##########################################\r\n  # Pop up warning on start \r\n  ##########################################\r\n  # the modal dialog where the user can enter the query details.\r\n  warning_modal <- modalDialog(\r\n    title = \"Disclaimer\", \r\n    paste0(\r\n      \"This app analyses the effect of New Zealand's tax and welfare system on an example family's net income and work incentives. The app is provided as-is and for research purposes only. Despite reasonable measures taken to ensure quality and accuracy, the Treasury makes no warranty, or guarantee, express or implied, nor assumes any legal liability or responsibility for the accuracy, correctness, completeness or use of any information that is provided through the app.\"\r\n    ),\r\n    footer = actionButton(\"close_warning\", \"Acknowledge\"),\r\n    easyClose = FALSE, fade = FALSE\r\n  )\r\n  \r\n  # Show the model on start up ...\r\n  showModal(warning_modal)\r\n  \r\n  observeEvent(input$Partnered, {\r\n    if (input$Partnered) {\r\n      show(\"gross_wage2\")\r\n      show(\"hours2\")\r\n    } else {\r\n      hide(\"gross_wage2\")\r\n      hide(\"hours2\")\r\n    }\r\n  })\r\n  \r\n  # Input validation\r\n  iv <- InputValidator$new()\r\n  iv$add_rule(\"wage1_hourly\", sv_gt(0))\r\n  iv$add_rule(\"max_hours\", sv_gt(0))\r\n  iv$add_rule(\"AS_Accommodation_Costs\", sv_gte(0))\r\n  iv$add_rule(\"gross_wage2\", sv_gte(0))\r\n  iv$add_rule(\"hours2\", sv_gte(0))\r\n  \r\n  # Regex for validating children's ages input:\r\n  # ^: start\r\n  # (\\\\s*([0-9]|1[0-7]): match 0-17 with optional leading space,\r\n  # (\\\\s*,\\\\s*([0-9]|1[0-7]))*: repeat for multiple ages\r\n  # (,\\\\s*)?: optional trailing comma\r\n  # $: end\r\n  # - Allows ages 0-17 (inclusive)\r\n  # - Accepts multiple ages separated by commas\r\n  # - Permits optional whitespace around numbers and commas\r\n  # - Allows a trailing comma with optional whitespace\r\n  # - Accepts blank input\r\n  # - Rejects non-numeric input and ages 18+\r\n  children_ages_regex <-\r\n    \"^(\\\\s*([0-9]|1[0-7])(\\\\s*,\\\\s*([0-9]|1[0-7]))*\\\\s*(,\\\\s*)?)?$\"\r\n  iv$add_rule(\r\n    \"Children_ages\",\r\n    sv_regex(\r\n      pattern = children_ages_regex,\r\n      message = \"Children must be aged between 0 and 17\"\r\n    )\r\n  )\r\n  \r\n  iv$enable()\r\n  \r\n  #### Selecting and/or Uploading parameter files ####\r\n  # Get default parameter files for scenarios\r\n  default_files <- list.files(\r\n    path = \"inst/parameters\", pattern = glob2rx(\"*.yaml\"), full.names = TRUE\r\n  )\r\n  default_files_names <- basename(default_files) %>% tools::file_path_sans_ext()\r\n  names(default_files) <- default_files_names\r\n  \r\n  # Store scenario files in a reactive variable\r\n  all_scenarios <- reactiveValues(names = default_files_names, paths = default_files)\r\n  loaded_scenarios <- reactiveValues(names = list(), params = list(), incomes = list())\r\n  \r\n  # When the warning dialog is closed, update the selection to add\r\n  # default scenarios as choices - this is a workaround for a shinylive issue\r\n  # because with normal R shiny the observeEvent after this one updates it for us\r\n  observeEvent(input$close_warning, {\r\n    updateSelectizeInput(\r\n      session, \"selected_scenarios\",\r\n      choices = all_scenarios$names, selected = NULL\r\n    )\r\n    removeModal()\r\n  })\r\n  \r\n  # Add a scenario to the list when a new scenario file is uploaded\r\n  observeEvent(input$upload_scenarios_button, {\r\n    new_scenarios <- req(input$upload_scenarios_button)\r\n    \r\n    # Validate uploaded files\r\n    valid_scenarios <- rep(0, length(new_scenarios$name))\r\n    for (ii in seq_along(new_scenarios$name)) {\r\n      new_scenario_path <- new_scenarios$datapath[ii]\r\n      params <- tryCatch(\r\n        expr = {\r\n          parameters_from_file(new_scenario_path)\r\n        },\r\n        error = function(e) {\r\n          return(NULL)\r\n        }\r\n      )\r\n      if (is.null(params)) {\r\n        warning(\"Invalid parameters uploaded:\", new_scenarios$name[ii])\r\n      } else {\r\n        valid_scenarios[ii] <- TRUE\r\n      }\r\n    }\r\n    \r\n    # Warn about any invalid scenarios\r\n    if (length(valid_scenarios[valid_scenarios == FALSE]) > 0) {\r\n      invalid_upload_modal <- modalDialog(\r\n        title = \"Invalid scenario files\",\r\n        sprintf(\r\n          \"These uploaded scenario files are invalid and have been ignored: \\n%s\",\r\n          paste(new_scenarios$name[valid_scenarios == FALSE], collapse = \", \")\r\n        ),\r\n        footer = modalButton(\"Dismiss\"),\r\n        easyClose = FALSE, fade = FALSE\r\n      )\r\n      showModal(invalid_upload_modal)\r\n    }\r\n    \r\n    # Subset to valid scenarios\r\n    new_scenarios <- lapply(new_scenarios, function(x) x[valid_scenarios == TRUE])\r\n    \r\n    new_scenario_names <- new_scenarios$name %>% tools::file_path_sans_ext()\r\n    overlapping_names <- intersect(new_scenario_names, all_scenarios$names)\r\n    for (overlapping_name in overlapping_names) {\r\n      # Avoid using any existing names\r\n      new_scenario_names[new_scenario_names == overlapping_name] <-\r\n        paste0(\"Uploaded_\", overlapping_name)\r\n    }\r\n    new_scenario_files <- as.list(new_scenarios$datapath)\r\n    names(new_scenario_files) <- new_scenario_names\r\n    \r\n    all_scenarios$names <- c(new_scenario_names, all_scenarios$names)\r\n    all_scenarios$paths <- c(new_scenario_files, all_scenarios$paths)\r\n    \r\n    # Add the new scenarios to the current selection\r\n    new_selection <- c(input$selected_scenarios, new_scenario_names)\r\n    updateSelectizeInput(\r\n      session, \"selected_scenarios\",\r\n      choices = all_scenarios$names, selected = new_selection\r\n    )\r\n  })\r\n  \r\n  #######################################################\r\n  # Loading parameters from files and calculating incomes\r\n  #######################################################\r\n  \r\n  # Check for newly selected scenarios, and load them\r\n  # Note that incomes are loaded as \"reactive\" values,\r\n  # and will be recalculated if family parameters are changed\r\n  observe({\r\n    req(iv$is_valid())\r\n    if (length(loaded_scenarios$params) > 0) {\r\n      loaded_scenarios_names <- names(loaded_scenarios$params)\r\n    } else {\r\n      loaded_scenarios_names <- c()\r\n    }\r\n    newly_selected_scenarios <- setdiff(input$selected_scenarios, loaded_scenarios_names)\r\n    if (length(newly_selected_scenarios) > 0) {\r\n      lapply(newly_selected_scenarios, function(newly_selected_scenario) {\r\n        new_params <- parameters_from_file(all_scenarios$paths[[newly_selected_scenario]])\r\n        new_income <- reactive({get_scenario_income(new_params)})\r\n        loaded_scenarios$params[[newly_selected_scenario]] <- new_params\r\n        loaded_scenarios$incomes[[newly_selected_scenario]] <- new_income\r\n      })\r\n      # If on the \"About\" tab, change to the \"Net Income\" tab to show some results\r\n      if (input$resultsTabset == \"About\") {\r\n        updateTabsetPanel(session, \"resultsTabset\", selected = \"Net Income\")\r\n      }\r\n    }\r\n    # Check for any loaded scenarios that are un-selected, and delete them\r\n    unselected_scenarios <- setdiff(loaded_scenarios_names, input$selected_scenarios)\r\n    if (length(unselected_scenarios) > 0) {\r\n      loaded_scenarios$params[unselected_scenarios] <- NULL\r\n      loaded_scenarios$incomes[unselected_scenarios] <- NULL\r\n    }\r\n    # Set loaded order based on selection order\r\n    loaded_scenarios$names <- input$selected_scenarios\r\n  })\r\n  \r\n  get_scenario_income <- function(params) {\r\n    scenario_income <- calculate_income(\r\n      # System parameters\r\n      params,\r\n      # Family parameters\r\n      max_hours = input$max_hours,\r\n      hourly_wage = input$wage1_hourly,\r\n      children_ages = input$Children_ages,\r\n      # Partner parameters\r\n      partnered = input$Partnered,\r\n      partner_wages = input$gross_wage2,\r\n      partner_hours = input$hours2,\r\n      # Accommodation parameters\r\n      accommodation_type = input$Acc_type,\r\n      as_accommodation_costs = input$AS_Accommodation_Costs,\r\n      as_area = as.numeric(input$AS_Area),\r\n      # Presentation parameters\r\n      steps_per_dollar = 1L,\r\n      weeks_in_year = 52L\r\n    )\r\n    return(scenario_income)\r\n  }\r\n  \r\n  #### Join incomes together as one data.table ####\r\n  get_scenario_incomes <- reactive({\r\n    req(loaded_scenarios$incomes)\r\n    req(iv$is_valid())\r\n    # Index into the loaded incomes using the selection order rather than loaded order\r\n    loaded_scenario_incomes <- loaded_scenarios$incomes[loaded_scenarios$names]\r\n    scenario_incomes_list <- lapply(loaded_scenario_incomes, function(x) x())\r\n    scenario_incomes <- rbindlist(scenario_incomes_list, idcol = \"Scenario\")\r\n    return(scenario_incomes)\r\n  })\r\n  \r\n  # An empty placeholder plot for when no scenarios are selected\r\n  # This is for shinylive which needs empty plots otherwise it errors\r\n  empty_plot <- plot_ly(type = \"scatter\", mode = \"none\") %>% layout(\r\n    xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),\r\n    yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE)\r\n  )\r\n  \r\n  #### Net Income plot ####\r\n  output$plot_netincome <- renderPlotly({\r\n    X_results <- req(get_scenario_incomes())\r\n    if (nrow(X_results) > 0) {\r\n      output_plot <- plot_net_income(X_results)\r\n    } else {\r\n      output_plot <- empty_plot\r\n    }\r\n    return(output_plot)\r\n  })\r\n  \r\n  #### EMTR plot ####\r\n  output$plot_emtr <- renderPlotly({\r\n    X_results <- req(get_scenario_incomes())\r\n    if (nrow(X_results) > 0) {\r\n      output_plot <- plot_rates(X_results, \"EMTR\", \"Effective Marginal Tax Rate\")\r\n    } else {\r\n      output_plot <- empty_plot\r\n    }\r\n    return(output_plot)\r\n  })\r\n  \r\n  #### RR plot ####\r\n  output$plot_replacement_rate <- renderPlotly({\r\n    X_results <- req(get_scenario_incomes())\r\n    if (nrow(X_results) > 0) {\r\n      output_plot <- plot_rates(X_results, \"RR\", \"Replacement Rate\")\r\n    } else {\r\n      output_plot <- empty_plot\r\n    }\r\n    return(output_plot)\r\n  })\r\n  \r\n  #### PTR plot ####\r\n  output$plot_participation_tax_rate <- renderPlotly({\r\n    X_results <- req(get_scenario_incomes())\r\n    if (nrow(X_results) > 0) {\r\n      output_plot <- plot_rates(X_results, \"PTR\", \"Participation Tax Rate\")\r\n    } else {\r\n      output_plot <- empty_plot\r\n    }\r\n    return(output_plot)\r\n  })\r\n  \r\n  #### Income composition plots ####\r\n  selected_income_composition_tab <- reactiveValues(tab = NULL)\r\n  \r\n  # Render a tab for each scenario\r\n  output$income_composition_tabs <- renderUI({\r\n    do.call(tabsetPanel, c(\r\n      id = \"income_composition_tabs\",\r\n      lapply(input$selected_scenarios, function(scenario) {\r\n        tabPanel(\r\n          scenario,\r\n          plotlyOutput(paste0(\"plot_income_composition_\", scenario), height = \"500px\")\r\n        )\r\n      }),\r\n      selected = selected_income_composition_tab$tab, type = \"pills\"\r\n    ))\r\n  })\r\n  \r\n  # When the input selection changes, update the plot for each scenario\r\n  observeEvent(input$selected_scenarios, {\r\n    lapply(input$selected_scenarios, function(scenario) {\r\n      plot_id <- paste0(\"plot_income_composition_\", scenario)\r\n      output[[plot_id]] <- renderPlotly({\r\n        X_results <- req(get_scenario_incomes())\r\n        if (nrow(X_results) > 0) {\r\n          y_min <- 52*min(X_results[, wage_tax_and_ACC + benefit_tax])\r\n          y_max <- 52*max(X_results[, Net_Income])\r\n          output_plot <- plot_income_composition(\r\n            X_results[Scenario == scenario], y_min = y_min, y_max = y_max\r\n          )\r\n        } else {\r\n          output_plot <- empty_plot\r\n        }\r\n        return(output_plot)\r\n      })\r\n    })\r\n    # Remember which tab we were on\r\n    if (!is.null(input$income_composition_tabs)) {\r\n      if (input$income_composition_tabs %in% input$selected_scenarios) {\r\n        # Keep tab we are on since it is still in the selected scenarios\r\n        currently_selected_tab <- input$income_composition_tabs\r\n        selected_income_composition_tab$tab <- currently_selected_tab\r\n      } else if (length(input$selected_scenarios) > 0) {\r\n        # The tab we were on has been deleted, change to the last selected scenario\r\n        num_scenarios <- length(input$selected_scenarios)\r\n        last_selected_scenario <- input$selected_scenarios[num_scenarios]\r\n        selected_income_composition_tab$tab <- last_selected_scenario\r\n      }\r\n    }\r\n  })\r\n  \r\n  #### Display changed parameters ####\r\n  output$changed_parameters <- renderTable({\r\n    # Index into loaded params using the saved selection order\r\n    params <- req(loaded_scenarios$params[loaded_scenarios$names])\r\n    get_parameter_changes(params)\r\n  })\r\n  \r\n  #### Download buttons ####\r\n  \r\n  # Enable download buttons only when a selection exists\r\n  observe({\r\n    if (length(input$selected_scenarios) > 0) {\r\n      enable(\"download_params_button\")\r\n      enable(\"download_results_button\")\r\n    } else {\r\n      disable(\"download_params_button\")\r\n      disable(\"download_results_button\")\r\n    }\r\n  })\r\n  \r\n  # Download scenario parameters\r\n  observeEvent(input$download_params_button, {\r\n    params <- req(loaded_scenarios$params)\r\n    param_names <- names(params)\r\n    param_paths <- all_scenarios$paths[param_names]\r\n    if (length(param_paths) == 0) {\r\n      disable(input$download_params_button)\r\n    } else {\r\n      # Create new excel files from the loaded parameters\r\n      temp_directory <- file.path(tempdir(), as.integer(Sys.time()))\r\n      dir.create(temp_directory)\r\n      output_paths <- file.path(temp_directory, paste0(param_names, \".xlsx\"))\r\n      names(output_paths) <- param_names\r\n      for (param_name in param_names) {\r\n        save_excel_params(params[[param_name]], output_paths[[param_name]])\r\n      }\r\n      if (length(param_names) == 1) {\r\n        server_file_path <- output_paths[1]\r\n        output_name <- basename(output_paths[1])\r\n      } else {\r\n        server_file_path <- file.path(temp_directory, \"Scenarios.zip\")\r\n        zip::zip(zipfile = server_file_path, files = dir(temp_directory), root = temp_directory)\r\n        output_name <- \"Scenarios.zip\"\r\n      }\r\n      js_download_file <- get_js_download_file(\r\n        server_file_path = server_file_path, download_file_name = output_name\r\n      )\r\n      runjs(js_download_file)\r\n      \r\n      updateActionButton(session, \"download_params_button\", icon = icon(\"download\"))\r\n      enable(\"download_params_button\")\r\n    }\r\n  })\r\n  \r\n  # Download scenario results\r\n  observeEvent(input$download_results_button, {\r\n    params <- req(loaded_scenarios$params)\r\n    if (length(params) == 0) {\r\n      disable(input$download_results_button)\r\n    } else {\r\n      output_path <- \"IncomeExplorerResults.xlsx\"\r\n      scenario_incomes <- req(get_scenario_incomes())\r\n      parameter_differences <- get_parameter_changes(params)\r\n\r\n      # Details of the example family and input files\r\n      details <- c(\r\n        HourlyWage = input$wage1_hourl,\r\n        Partnered = input$Partnered,\r\n        Partner_HourlyWage = input$gross_wage2*(input$Partnered == 1),\r\n        Partner_HoursWorked = input$hours2*(input$Partnered == 1),\r\n        Accomodation_Costs = input$AS_Accommodation_Costs,\r\n        Accomodation_Type = input$Acc_type,\r\n        AS_Area = input$AS_Area,\r\n        Children_Ages = input$Children_ages\r\n      )\r\n      \r\n      save_app_results(\r\n        details, parameter_differences, scenario_incomes, output_path\r\n      )\r\n\r\n      js_download_file <- get_js_download_file(\r\n        server_file_path = output_path, download_file_name = output_path\r\n      )\r\n      runjs(js_download_file)\r\n      \r\n      updateActionButton(session, \"download_results_button\", icon = icon(\"download\"))\r\n      enable(\"download_results_button\")\r\n    }\r\n  })\r\n})\r\n","type":"text"},{"name":"ui.R","content":"#\r\n# This is the user-interface definition of the Income Explorer Shiny web application. You can\r\n# run the application by clicking 'Run App' above.\r\n#\r\n###############################\r\n# Libraries\r\n###############################\r\n\r\nsuppressMessages({\r\n  library(shiny)\r\n  library(shinyjs)\r\n  library(shinythemes)\r\n  library(plotly)\r\n  library(data.table)\r\n})\r\n\r\n# TY25 minimum wage\r\nDEFAULT_HOURLY_WAGE <- 23.15\r\n\r\n# Define UI\r\nshinyUI(fluidPage(\r\n  # different themes from shinythemes R package, https://rstudio.github.io/shinythemes/\r\n  theme = shinytheme(\"sandstone\"),\r\n  useShinyjs(),\r\n  tags$head(tags$style(HTML(\r\n    \"a {color:#000000} a:hover, a:focus {color:#707070} .btn {margin-bottom:5px}\"\r\n  ))),\r\n  tags$head(tags$link(rel = \"shortcut icon\", href = \"favicon.ico\")), \r\n  # Side menu\r\n  sidebarLayout(\r\n    sidebarPanel(\r\n      width = 4,\r\n      # Application title\r\n      titlePanel(\r\n        title = div(\r\n          style = \"margin-top:-25px\",\r\n          div(\r\n            style = \"float:left; padding:0 10px 8px 0;\",\r\n            a(\r\n              target = \"_blank\",\r\n              href = \"https://www.treasury.govt.nz/\",\r\n              img(style = \"display:block\", src = \"logo.svg\", height = \"30px\")\r\n            )\r\n          ),\r\n          div(style = \"float:left; padding:0 0 10px 0\", \"Income Explorer\")\r\n        ),\r\n        windowTitle = \"Income Explorer\"\r\n      ),\r\n      br(style = \"clear:both\"),\r\n      fluidRow(\r\n        column(\r\n          12,\r\n          selectizeInput(\r\n            \"selected_scenarios\", \"Policy Scenarios\",\r\n            choices = NULL, selected = NULL, multiple = TRUE,\r\n            options = list(\r\n              placeholder = \"Select policy scenarios...\",\r\n              plugins = list(\"remove_button\")\r\n            )\r\n          )\r\n        )\r\n      ),\r\n      fluidRow(\r\n        column(\r\n          12, align = \"center\",\r\n          fileInputButton(\r\n            \"upload_scenarios_button\", buttonLabel = \"Add scenarios\", icon = icon(\"plus\"),\r\n            multiple = TRUE, accept = c(\".xlsx\", \".xls\", \".yaml\", \".yml\"),\r\n          ),\r\n          actionButtonLoading(\r\n            \"download_params_button\", \"Download scenarios\", icon = icon(\"download\")\r\n          ),\r\n          actionButtonLoading(\r\n            \"download_results_button\", \"Download Results\", icon = icon(\"download\")\r\n          )\r\n        )\r\n      ),\r\n      \r\n      br(),\r\n      \r\n      # Input the hourly wage and hours\r\n      fluidRow(\r\n        column(6, numericInput(\r\n          \"wage1_hourly\", \"Hourly wage ($)\",\r\n          value = DEFAULT_HOURLY_WAGE, step = 0.1, min = 0.1\r\n        )),\r\n        column(6, numericInput(\"max_hours\", \"Max hours/week\", \"50\", step = 1, min = 1))\r\n      ),\r\n      \r\n      # Input accomodation cost settings\r\n      fluidRow(\r\n        column(4, selectInput(\r\n          \"Acc_type\", label = \"Accommodation type\",\r\n          choices = c(\"Renting\", \"Mortgage\"), selected = \"Renting\"\r\n        )),\r\n        column(5, numericInput(\r\n          \"AS_Accommodation_Costs\", \"Weekly housing cost ($)\",\r\n          min = 0, max = 2000, value = 450, step = 5\r\n        )),\r\n        column(3, selectInput(\r\n          \"AS_Area\", label = \"AS area code\",\r\n          choices = c(1, 2, 3, 4), selected = 2\r\n        ))\r\n      ),\r\n      # Input the children's ages\r\n      textInput(\r\n        \"Children_ages\",\r\n        \"Age of children (e.g. '1, 4' or leave blank)\",\r\n        \"0, 10\"\r\n      ),\r\n      # Input partner status\r\n      checkboxInput(\"Partnered\", \"Partnered\", value = FALSE),\r\n      # Input parter wage details, note that this is only\r\n      # displayed if there is a partner\r\n      fluidRow(\r\n        column(6, hidden(numericInput(\r\n          \"gross_wage2\", \"Partner's hourly wage ($)\",\r\n          min = 15, max = 100,\r\n          value = DEFAULT_HOURLY_WAGE, step = .1\r\n        ))),\r\n        column(6, hidden(\r\n          numericInput(\r\n            \"hours2\", \"Partner's hours worked\",\r\n            min = 0, max = 80, value = 0, step = 5\r\n          )\r\n        ))\r\n      ),\r\n      \r\n      fluidRow(\r\n        style = \"text-align:center\",\r\n        a(\"Source\", target = \"_blank\", href = \"https://github.com/Treasury-Analytics-and-Insights/IncomeExplorer\"),\r\n        \" | \",\r\n        a(\"License\", target = \"_blank\", href = \"https://github.com/Treasury-Analytics-and-Insights/IncomeExplorer/blob/master/LICENSE.md\"),\r\n        \" | \",\r\n        a(\"The Treasury\", target = \"_blank\", href = \"https://www.treasury.govt.nz/\"),\r\n        \" | \",\r\n        a(\"www.govt.nz\", target = \"_blank\", href = \"https://www.govt.nz/\"),\r\n        br(),\r\n        span(\r\n          style = \"font-variant:small-caps; font-size:14px;\",\r\n          a(\r\n            \"© 2024 \", strong(\"Analytics\"), em(\"&\"), strong(\"Insights\"),\r\n            target = \"_blank\", href = \"https://github.com/Treasury-Analytics-and-Insights/\"\r\n          )\r\n        )\r\n      )\r\n    ),\r\n    # Main panel containing plots etc.\r\n    mainPanel(\r\n      style = \"padding: 20px 0 0 0;\",\r\n      tabsetPanel(\r\n        id = \"resultsTabset\",\r\n        tabPanel(\r\n          \"About\",\r\n          mainPanel(\r\n            h2(\"Overview\"),\r\n            p(\r\n              \"This app is designed to support policy analysts in understanding the relationship between gross income and net income due to the Tax and Welfare policies of New Zealand.\",\r\n              \"The app considers a theoretical family, and calculates various measures of work incentives, including net income, effective marginal tax rates (EMTR's), replacement rates (RR's), and participation tax rates (PTR's).\"\r\n            ),\r\n            h2(\"Usage\"),\r\n            tags$ul(\r\n              tags$li(\"The app is preloaded with policy scenarios from the most recently released Economic & Fiscal Update (EFU) from the New Zealand Treasury. You can select any number of these scenarios by clicking in the 'Select policy scenarios...' selection field and then selecting from the drop-down list that appears.\"),\r\n              tags$li(\"Results are displayed in the different tabs: Net Income, EMTR, RR, PTR, and Income Composition. The Policy Changes tab shows the differences in policy settings between consecutive selected policy scenarios.\"),\r\n              tags$li(\"The app allows you to customise the example family by setting parameters relating to their earnings, accommodation costs, number of children, and whether the primary earner has a partner or not and what their partner's earnings are.\"),\r\n              tags$li(\"Selected policy scenarios can be downloaded in Excel format by clicking the 'Download Scenarios' button. These can be edited, and then uploaded back into the app using the 'Add Scenarios' button.\"),\r\n              tags$li(\"The full calculation results can be downloaded in Excel format by clicking the 'Download Results' button.\")\r\n            ),\r\n            h2(\"Disclaimer\"),\r\n            p(\r\n              \"This app analyses the effect of New Zealand's tax and welfare system on an example family's net income and work incentives. The app is provided as-is and for research purposes only. Despite reasonable measures taken to ensure quality and accuracy, the Treasury makes no warranty, or guarantee, express or implied, nor assumes any legal liability or responsibility for the accuracy, correctness, completeness or use of any information that is provided through the app.\"\r\n            )\r\n          )\r\n        ),\r\n        tabPanel(\r\n          \"Net Income\",\r\n          br(),\r\n          plotlyOutput(\"plot_netincome\", height = \"500px\")\r\n        ),\r\n        tabPanel(\r\n          \"EMTR\",\r\n          br(),\r\n          plotlyOutput(\"plot_emtr\", height = \"500px\")\r\n        ),\r\n        tabPanel(\r\n          \"RR\",\r\n          br(),\r\n          plotlyOutput(\"plot_replacement_rate\", height = \"500px\")\r\n        ),\r\n        tabPanel(\r\n          \"PTR\",\r\n          br(),\r\n          plotlyOutput(\"plot_participation_tax_rate\", height = \"500px\")\r\n        ),\r\n        tabPanel(\r\n          \"Income Composition\",\r\n          p(style = \"margin-bottom: 0.5em\"),\r\n          uiOutput(\"income_composition_tabs\")\r\n        ),\r\n        tabPanel(\"Policy Changes\", tableOutput(\"changed_parameters\"))\r\n      )\r\n    )\r\n  )\r\n))\r\n","type":"text"},{"name":"DESCRIPTION","content":"Package: IncomeExplorer\r\nType: Package\r\nTitle: Explore Family Incomes\r\nVersion: 1.0.0\r\nAuthors@R: c(\r\n    person(\"Luke\", \"Symes\", , \"Luke.Symes@treasury.govt.nz\", c(\"aut\", \"cre\")),\r\n    person(\"Cory\", \"Davis\", , \"Cory.Davis@treasury.govt.nz\", c(\"aut\")),\r\n    person(\"Michael\", \"Eglinton\", , \"Michael.Eglinton@treasury.govt.nz\", c(\"aut\")),\r\n    person(\"Yvonne\", \"Wang\", , \"Yvonne.Wang@treasury.govt.nz\", c(\"aut\")),\r\n    person(\"Meghan\", \"Stephens\", , \"Meghan.Stephens@treasury.govt.nz\", c(\"aut\")),\r\n    person(\"Te Tai Ōhanga - The Treasury\", role = c(\"cph\", \"fnd\"))\r\n    )\r\nDescription: Explore Family Incomes, including EMTR and income component analysis, special edition for release\r\nLicense: MIT + file LICENSE\r\nURL: https://dev.azure.com/nztreasury/Analytics.Insights/_git/IncomeExplorer\r\nEncoding: UTF-8\r\nLazyData: true\r\nDepends:\r\n    R (>= 3.6.0)\r\nImports:\r\n    shiny (>= 1.6.0),\r\n    shinythemes,\r\n    shinyvalidate,\r\n    data.table (>= 1.12.8),\r\n    magrittr,\r\n    stringr,\r\n    openxlsx,\r\n    plotly,\r\n    RColorBrewer,\r\n    rhandsontable,\r\n    scales,\r\n    logging,\r\n    zoo\r\nSuggests: \r\n    testthat,\r\n    pkgdown,\r\n    covr\r\nRoxygenNote: 7.1.1\r\n","type":"text"},{"name":"LICENSE.md","content":"# MIT License\r\n\r\nCopyright (c) 2021 Analytics & Insights - Te Tai Ohanga - New Zealand Treasury\r\n\r\nPermission is hereby granted, free of charge, to any person obtaining a copy\r\nof this software and associated documentation files (the \"Software\"), to deal\r\nin the Software without restriction, including without limitation the rights\r\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\r\ncopies of the Software, and to permit persons to whom the Software is\r\nfurnished to do so, subject to the following conditions:\r\n\r\nThe above copyright notice and this permission notice shall be included in all\r\ncopies or substantial portions of the Software.\r\n\r\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\r\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\r\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\r\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\r\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\r\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\r\nSOFTWARE.\r\n","type":"text"},{"name":"NAMESPACE","content":"exportPattern(\"^[[:alpha:]]+\")\r\nimport(shiny)\r\nimport(shinythemes)\r\nimport(data.table)\r\nimport(plotly)\r\nimportFrom(magrittr, \"%>%\", \"%<>%\")\r\nimport(logging)\r\n","type":"text"},{"name":"R/app_utilities.R","content":"tsy_palette <- c( \r\n  rgb(0, 131, 172, maxColorValue = 255),\r\n  rgb(0, 188, 226, maxColorValue = 255),\r\n  rgb(103, 168, 84, maxColorValue = 255),\r\n  rgb(188, 214, 81, maxColorValue = 255),\r\n  rgb(241, 164, 45, maxColorValue = 255),\r\n  rgb(239, 150, 108, maxColorValue = 255),\r\n  rgb(0, 79, 103, maxColorValue = 255),\r\n  rgb(0, 113, 136, maxColorValue = 255),\r\n  rgb(62, 101, 50, maxColorValue = 255),\r\n  rgb(122, 143, 34, maxColorValue = 255),\r\n  rgb(13, 143, 34, maxColorValue = 255),\r\n  rgb(122, 42, 34, maxColorValue = 255)\r\n)\r\n\r\n# Converts a string used to input children's ages into numeric values\r\nconvert_ages <- function(input_string){\r\n  ages = as.numeric(strsplit(input_string, \",\")[[1]])\r\n  ages = sort(ages)\r\n  return(ages)\r\n}\r\n\r\ncalculate_income <- function(\r\n    params,\r\n    max_hours, hourly_wage, children_ages,\r\n    partnered, partner_wages, partner_hours,\r\n    accommodation_type, as_accommodation_costs, as_area,\r\n    steps_per_dollar = 1L, weeks_in_year = 52L\r\n) {\r\n  # convert inputs\r\n  max_wage <- max_hours*hourly_wage\r\n  children <- convert_ages(children_ages)\r\n  \r\n  as_accommodation_rent <- (accommodation_type == \"Renting\")\r\n  \r\n  partner_wages <- (partnered == 1)*partner_wages*partner_hours\r\n  partner_hours <- (partnered == 1)*partner_hours\r\n  \r\n  mftc_wep_scaling <- params$MFTC_WEP_scaling\r\n  \r\n  # Create helper emtr function using current inputs\r\n  calc_emtr <- function(params) {\r\n    emtr(\r\n      # System parameters\r\n      params,\r\n      # Family parameters\r\n      Partnered = partnered,\r\n      wage1_hourly = hourly_wage,\r\n      Children_ages = children,\r\n      gross_wage2 = partner_wages,\r\n      hours2 = partner_hours,\r\n      # Accommodation\r\n      AS_Accommodation_Costs = as_accommodation_costs,\r\n      AS_Accommodation_Rent = as_accommodation_rent,\r\n      AS_Area = as.numeric(as_area),\r\n      # Presentation parameters\r\n      max_wage = max_wage,\r\n      steps_per_dollar = 1L,\r\n      weeks_in_year = 52L,\r\n      MFTC_WEP_scaling = as.numeric(mftc_wep_scaling)\r\n    )\r\n  }\r\n  \r\n  # MFTC is meant to make families always better off being off-benefit than staying\r\n  # on a benefit. We let the user set whether the family stays on benefit\r\n  # or gets IWTC when they work, with the parameter input$WFFBEN_SQ. This can be:\r\n  # \"Max\" - choose the option which maximises the family income.\r\n  # \"WFF\" - go off the benefit while working, and get IWTC + MFTC.\r\n  # \"Benefit\" - stay on the benefit while working, and never get IWTC or MFTC\r\n  #             (benefit abates away as earned income increases).\r\n  # Note that these are only applicable when beneficiaries are ineligible for IWTC;\r\n  # MFTC eligibility currently depends on IWTC eligibility in the `emtr` function.\r\n  \r\n  emtr_income_with_IWTC <- calc_emtr(params)\r\n  \r\n  wff_or_ben <- params$WFF_or_Benefit\r\n  \r\n  if (wff_or_ben == \"WFF\") {\r\n    # print(\"Going off benefit (IWTC)\")\r\n    emtr_income <- emtr_income_with_IWTC\r\n  } else {\r\n    params_without_IWTC <- remove_IWTC_from_params(params)\r\n    emtr_income_without_IWTC <- calc_emtr(params_without_IWTC)\r\n    if (wff_or_ben == \"Benefit\") {\r\n      # print(\"Staying on benefit (no IWTC)\")\r\n      emtr_income <- emtr_income_without_IWTC\r\n    } else {\r\n      # Choose which of benefit or IWTC gives max net income\r\n      # print(\"Choosing max between IWTC or benefit\")\r\n      emtr_income <- choose_IWTC_or_benefit(\r\n        emtr_income_with_IWTC, emtr_income_without_IWTC\r\n      )\r\n    }\r\n  }\r\n  \r\n  return(emtr_income)\r\n}\r\n\r\n# Data table containing only the parameters that changed\r\n# and their values\r\nparams_to_string_dt <- function(params) {\r\n  params_string <- data.table()\r\n  for (p in names(params)) {\r\n    Value = params[[p]]\r\n    # convert scales to strings\r\n    if (length(Value) > 1) {\r\n      Value <- as.data.frame(Value)\r\n      Value <- paste0(\r\n        \"Thresholds:\", paste0(\"$\", Value$thresholds, collapse = \", \"), \"; \",\r\n        \"Rates:\", paste0(100*Value$rates, \"%\", collapse = \", \")\r\n      )\r\n    }\r\n    this_params_string <- data.table(Parameter = p, Value = Value)\r\n    params_string <- rbind(params_string, this_params_string)\r\n  }\r\n  return(params_string)\r\n}\r\n\r\nget_parameter_changes <- function(params_list) {\r\n  scenarios <- names(params_list)\r\n  if (length(scenarios) < 2) {\r\n    changes <- data.table()\r\n  } else {\r\n    # Load all parameters as strings, joining Scenario's in long format\r\n    params_list_str <- lapply(params_list, params_to_string_dt) %>%\r\n      setNames(names(params_list)) %>%\r\n      rbindlist(idcol = \"Scenario\")\r\n    params_list_str[, Scenario := factor(Scenario, levels = scenarios)]\r\n    params_list_str[, Parameter := factor(Parameter, levels = unique(Parameter))]\r\n    \r\n    # Calculate all sequential changes\r\n    params_list_str[, Change_Value := \"\"] # Initialise to string type\r\n    params_list_str[, Change_Value := ifelse(Value == shift(Value), NA, Value), by = Parameter]\r\n    \r\n    changes <- dcast(\r\n      params_list_str[!is.na(Change_Value), .(Scenario, Parameter, Change_Value)],\r\n      ... ~ Scenario, value.var = \"Change_Value\"\r\n    )\r\n    if (nrow(changes) > 0) {\r\n      # There are some changes, so lets merge on the first scenario parameters\r\n      first_vals <- dcast(\r\n        params_list_str[Scenario == first(Scenario), .(Scenario, Parameter, Value)],\r\n        ... ~ Scenario, value.var = \"Value\"\r\n      )\r\n      changes <- merge(changes, first_vals, by = \"Parameter\", all.x = TRUE)\r\n      setcolorder(changes, c(\"Parameter\", scenarios[1]))\r\n      \r\n      # Now add blanks to any \"in-between\" scenarios\r\n      inbetween_scenarios <- setdiff(scenarios, setdiff(names(changes), \"Parameter\"))\r\n      changes[, (inbetween_scenarios) := NA]\r\n      setcolorder(changes, c(\"Parameter\", scenarios))\r\n      \r\n      # Set any NA's to be blank\r\n      changes[, (scenarios) := lapply(.SD, function(x) ifelse(is.na(x), \"\", x)), .SDcols = scenarios]\r\n      \r\n    } else {\r\n      # There are no changes\r\n      changes <- data.table()\r\n    }\r\n  }\r\n  return(changes)\r\n}\r\n\r\n\r\n\r\n# Plot income composition\r\nplot_income_composition <- function(\r\n    EMTR_table, y_min = NULL, y_max = NULL, weeks_in_year = 52L\r\n) {\r\n  \r\n  plot_data <- copy(EMTR_table)\r\n  extended_tsy_palette <- colorRampPalette(tsy_palette)(20)\r\n  \r\n  set_colours <- c(\r\n    \"Best Start\" = extended_tsy_palette[1],\r\n    \"Winter Energy\" = extended_tsy_palette[2],\r\n    \"Accomodation Supplement\" = extended_tsy_palette[3],\r\n    \"IWTC\" = extended_tsy_palette[4],\r\n    \"FTC\" = extended_tsy_palette[5],\r\n    \"MFTC\" = extended_tsy_palette[6],\r\n    \"IETC\" = extended_tsy_palette[7],\r\n    \"Net Core Benefit\" = extended_tsy_palette[13],\r\n    \"Net Wage\" = extended_tsy_palette[18],\r\n    \"Net Wage (Partner)\" = extended_tsy_palette[11],\r\n    \"Tax on Core Benefit\" = extended_tsy_palette[10],\r\n    \"Tax on Wage and ACC\" = extended_tsy_palette[8]\r\n  )\r\n  \r\n  data_component_cols <- c(\r\n    \"Best Start\" = \"BestStart_Total\",\r\n    \"Winter Energy\" = \"WinterEnergy\",\r\n    \"Accomodation Supplement\" = \"AS_Amount\",\r\n    \"IWTC\" = \"IWTC_abated\",\r\n    \"FTC\" = \"FTC_abated\",\r\n    \"MFTC\" = \"MFTC\",\r\n    \"IETC\" = \"IETC_abated\",\r\n    \"Net Core Benefit\" = \"net_benefit\",\r\n    \"Net Wage\" = \"net_wage1\",\r\n    \"Net Wage (Partner)\" = \"net_wage2\",\r\n    \"Tax on Core Benefit\" = \"benefit_tax\",\r\n    \"Tax on Wage and ACC\" = \"wage_tax_and_ACC\"\r\n  )\r\n  \r\n  display_cols <- c(data_component_cols, \"Net Income\" = \"Net_Income\")\r\n  plot_data[, (display_cols) := lapply(.SD, function(x) x*weeks_in_year), .SDcols = display_cols]\r\n  \r\n  add_income_component <- function(p, income_component, stackgroup) {\r\n    p %>% add_trace(\r\n      data = plot_data, type = \"scatter\", mode = \"none\",\r\n      x = ~gross_wage1_annual,\r\n      y = ~.data[[data_component_cols[[income_component]]]],\r\n      name = income_component,\r\n      fillcolor = set_colours[[income_component]],\r\n      hovertemplate = paste0(income_component, \": %{y:$,.0f}<extra><\/extra>\"),\r\n      stackgroup = stackgroup\r\n    )\r\n  }\r\n  \r\n  p <- plot_ly()\r\n  # Add tax first\r\n  tax_col_names <- names(display_cols) %>% .[. %like% \"Tax\"]\r\n  for (tax_col_name in rev(tax_col_names)) {\r\n    p <- p %>% add_income_component(tax_col_name, stackgroup = \"one\")\r\n  }\r\n  # Add transfers second\r\n  transfer_col_names <- names(display_cols) %>% .[!(. %like% \"Tax\") & . != \"Net Income\"]\r\n  for (transfer_col_name in rev(transfer_col_names)) {\r\n    p <- p %>% add_income_component(transfer_col_name, stackgroup = \"two\")\r\n  }\r\n  \r\n  p <- p %>%\r\n    add_lines(\r\n      data = plot_data, x = ~ gross_wage1_annual,\r\n      y = ~ Net_Income, name = \"Net Income\", color = I(\"black\"), inherit = FALSE,\r\n      hovertemplate = paste(\"Net Income: %{y:$,.0f}<extra><\/extra>\")\r\n    ) %>%\r\n    add_trace(\r\n      data = plot_data, x =  ~ hours1, y =  ~ 0, xaxis = \"x2\",\r\n      type = \"scatter\", mode = \"lines\",\r\n      line = list(width = 0), hoverinfo = \"none\",\r\n      showlegend = FALSE, inherit = FALSE\r\n    ) %>%\r\n    layout(\r\n      xaxis2 = list(\r\n        overlaying = \"x\", nticks = 10, side = \"top\",\r\n        title = \"Hours/week\", automargin = TRUE, size = 8, showline = TRUE\r\n      ),\r\n      xaxis = list(\r\n        title = \"Annual gross wage income ($)\", tickformat = \"$,\",\r\n        automargin = TRUE, zeroline = TRUE, showline = TRUE, mirror = TRUE\r\n      ),\r\n      yaxis = list(\r\n        title = \"Income ($)\", tickformat = \"$,\",\r\n        automargin = TRUE, zeroline = TRUE, showline = TRUE, mirror = TRUE,\r\n        range = list(y_min, y_max)\r\n      ),\r\n      legend = list(x = 100, y = 0.5),\r\n      hovermode = \"x\"\r\n    )\r\n  return(p)\r\n}\r\n\r\n# Plot net incomes by Scenario\r\nplot_net_income <- function(input_data) {\r\n  income <- copy(input_data)\r\n  income[, Scenario := factor(Scenario, levels = unique(Scenario))]\r\n  \r\n  output_plot <- plot_ly(\r\n    data = income, x = ~gross_wage1_annual, y = ~Net_Income_annual, split = ~Scenario,\r\n    mode = \"lines\", type = \"scatter\", showlegend = TRUE,\r\n    line = list(color = tsy_palette, width = 3),\r\n    text = ~paste(\r\n      sprintf(\"<i>%s<\/i>\", Scenario),\r\n      \"<br><b>Annual<\/b>\",\r\n      sprintf(\r\n        \"<br>Gross wages: %s\",\r\n        scales::dollar(gross_wage1_annual, accuracy = 0.01)\r\n      ),\r\n      sprintf(\r\n        \"<br>Net income: %s\",\r\n        scales::dollar(Net_Income_annual)\r\n      ),\r\n      \"<br><b>Weekly<\/b>\",\r\n      sprintf(\r\n        \"<br>Gross wages: %s (%s hrs)\",\r\n        scales::dollar(gross_wage1, accuracy = 0.01),\r\n        scales::comma(hours1, accuracy = 0.1)\r\n      ),\r\n      sprintf(\r\n        \"<br>Net income: %s\",\r\n        scales::dollar(Net_Income)\r\n      ),\r\n      \"<br><b>Income breakdown (per week)<\/b>\",\r\n      \"<br>Net wage:\", scales::dollar(net_wage),\r\n      \"<br>Net benefit:\", scales::dollar(net_benefit),\r\n      \"<br>WFF:\", scales::dollar(WFF_abated),\r\n      \"<br>MFTC:\", scales::dollar(MFTC),\r\n      \"<br>IETC:\", scales::dollar(IETC_abated),\r\n      \"<br>Winter Energy:\", scales::dollar(WinterEnergy),\r\n      \"<br>Best start:\", scales::dollar(BestStart_Total),\r\n      \"<br>AS:\", scales::dollar(AS_Amount)\r\n    ),\r\n    hoverinfo = \"text\"\r\n  ) %>%\r\n    add_trace(\r\n      x = ~hours1, y = 0, xaxis = \"x2\", showlegend = FALSE, inherit = FALSE,\r\n      type = \"scatter\", mode = \"none\", hoverinfo = \"none\"\r\n    ) %>%\r\n    layout(\r\n      xaxis2 = list(\r\n        overlaying = \"x\", nticks = 10, side = \"top\",\r\n        title = \"Hours/week\", automargin = TRUE, size = 8, showline = TRUE\r\n      ),\r\n      xaxis = list(\r\n        title = \"Annual gross wage income ($)\",\r\n        tickformat = \"$,\", automargin = TRUE, showline = TRUE, mirror = TRUE\r\n      ),\r\n      yaxis = list(\r\n        title = \"Income ($)\", tickformat = \"$,\", \r\n        automargin = TRUE, showline = TRUE,  mirror = TRUE, rangemode = \"tozero\"\r\n      ),\r\n      legend = list(x = 100, y = 0.5),\r\n      hovermode = \"closest\"\r\n    )\r\n  return(output_plot)\r\n}\r\n\r\n# Plot rates by Scenario\r\nplot_rates <- function(input_data, rate_type, ylabel) {\r\n  income <- copy(input_data)\r\n  income[, Scenario := factor(Scenario, levels = unique(Scenario))]\r\n  \r\n  if (rate_type == \"PTR\") {\r\n    # Drop zero since PTR is undefined\r\n    income <- income[gross_wage1_annual != 0]\r\n  }\r\n  \r\n  output_plot <- plot_ly(\r\n    data = income, x = ~gross_wage1_annual, y = ~get(rate_type), split = ~Scenario,\r\n    mode = \"lines\", type = \"scatter\", showlegend = TRUE,\r\n    line = list(color = tsy_palette, width = 3),\r\n    text = ~paste(\r\n      sprintf(\"<i>%s<\/i>\", Scenario),\r\n      \"<br><b>Gross wage<\/b>\",\r\n      sprintf(\r\n        \"<br>Annual: %s\",\r\n        scales::dollar(gross_wage1_annual, accuracy = 0.01)\r\n      ),\r\n      sprintf(\r\n        \"<br>Weekly: %s (%s hrs)\",\r\n        scales::dollar(gross_wage1, accuracy = 0.01),\r\n        scales::comma(hours1, accuracy = 0.1)\r\n      ),\r\n      sprintf(\"<br><b>%s:<\/b> %s\", rate_type, scales::percent(get(rate_type), accuracy = 0.1)),\r\n      sprintf(\"<br><b>%s breakdown<\/b>\", rate_type),\r\n      \"<br>Wage Tax/ACC:\", scales::percent(get(paste0(rate_type, \"_net_wage\")), accuracy = 0.1),\r\n      \"<br>Benefit:\", scales::percent(get(paste0(rate_type, \"_net_benefit\")), accuracy = 0.1),\r\n      \"<br>WFF:\", scales::percent(get(paste0(rate_type, \"_WFF_abated\")), accuracy = 0.1),\r\n      \"<br>MFTC:\", scales::percent(get(paste0(rate_type, \"_MFTC\")), accuracy = 0.1),\r\n      \"<br>IETC:\", scales::percent(get(paste0(rate_type, \"_IETC_abated\")), accuracy = 0.1),\r\n      \"<br>Winter Energy:\", scales::percent(get(paste0(rate_type, \"_WinterEnergy\")), accuracy = 0.1),\r\n      \"<br>Best start:\", scales::percent(get(paste0(rate_type, \"_BestStart_Total\")), accuracy = 0.1),\r\n      \"<br>AS:\", scales::percent(get(paste0(rate_type, \"_AS_Amount\")), accuracy = 0.1)\r\n    ),\r\n    hoverinfo = \"text\"\r\n  ) %>%\r\n    add_trace(\r\n      x = ~hours1, y = ~0, xaxis = \"x2\", showlegend = FALSE, inherit = FALSE,\r\n      type = \"scatter\", mode = \"none\", hoverinfo = \"none\"\r\n    ) %>%\r\n    layout(\r\n      xaxis2 = list(\r\n        overlaying = \"x\", nticks = 10, side = \"top\",\r\n        title = \"Hours/week\", automargin = TRUE, size = 8, showline = TRUE\r\n      ),\r\n      xaxis = list(\r\n        title = \"Annual gross wage income ($)\",\r\n        tickformat = \"$,\", automargin = TRUE, showline = TRUE, mirror = TRUE\r\n      ),\r\n      yaxis = list(\r\n        title = ylabel, tickformat = \".0%\", \r\n        automargin = TRUE, showline = TRUE,  mirror = TRUE,\r\n        range = c(0, 1.1)\r\n      ),\r\n      legend = list(x = 100, y = 0.5),\r\n      hovermode = \"closest\"\r\n    )\r\n  return(output_plot)\r\n}\r\n\r\nremove_IWTC_from_params <- function(input_params) {\r\n  output_params <- copy(input_params)\r\n  output_params$FamilyAssistance_IWTC_Rates_UpTo3Children <- 0\r\n  output_params$FamilyAssistance_IWTC_Rates_SubsequentChildren <- 0\r\n  return(output_params)\r\n}\r\n\r\nchoose_IWTC_or_benefit <- function(X, X_without_IWTC) {\r\n  # Merge max\r\n  SQ_net_income_comparison <- cbind(\r\n    X[, .(\r\n      Net_Income_With_IWTC = Net_Income,\r\n      Has_WFF_or_BS_With_IWTC = (WFF_abated + BestStart_Abated) > 0\r\n    )],\r\n    X_without_IWTC[, .(\r\n      Net_Income_Without_IWTC = Net_Income,\r\n      Has_IETC_Without_IWTC = IETC_abated > 0\r\n    )]\r\n  )\r\n  SQ_net_income_comparison[, row_ID := 1:.N]\r\n  # Choose IWTC if it gives greater income.\r\n  # Also if the family would be receiving IETC but is eligible for WFF/BS, then\r\n  # we have to keep them on WFF/BS due to IETC eligibility criteria.\r\n  With_IWTC_indices <- SQ_net_income_comparison[\r\n    (Net_Income_With_IWTC >= Net_Income_Without_IWTC) |\r\n      (Has_WFF_or_BS_With_IWTC & Has_IETC_Without_IWTC),\r\n    row_ID\r\n  ]\r\n  # Choose without-IWTC if it gives greater income.\r\n  # Also if the family would be receiving IETC but is eligible for WFF/BS, then\r\n  # we cannot give them IETC due to IETC eligibility criteria.\r\n  Without_IWTC_indices <- SQ_net_income_comparison[\r\n    Net_Income_Without_IWTC > Net_Income_With_IWTC &\r\n      !(Has_WFF_or_BS_With_IWTC & Has_IETC_Without_IWTC),\r\n    row_ID\r\n  ]\r\n  \r\n  With_IWTC <- X[With_IWTC_indices]\r\n  Without_IWTC <- X_without_IWTC[Without_IWTC_indices]\r\n  \r\n  X <- rbind(With_IWTC, Without_IWTC, fill = TRUE)\r\n  setorderv(X, \"hours1\")\r\n  \r\n  # Re-calculate rates\r\n  steps_per_dollar <- 1 / (X[2, gross_wage1] - X[1, gross_wage1]) # Assume constant\r\n  X <- calculate_rates(X, net_income_components, steps_per_dollar)\r\n  \r\n  return(X)\r\n}\r\n","type":"text"},{"name":"R/app_widgets.R","content":"fileInputButton <- function(\r\n    inputId, buttonLabel = \"Browse...\", icon = NULL,\r\n    multiple = FALSE, accept = NULL, capture = NULL\r\n)\r\n{\r\n  restoredValue <- restoreInput(id = inputId, default = NULL)\r\n  if (!is.null(restoredValue) && !is.data.frame(restoredValue)) {\r\n    warning(\"Restored value for \", inputId, \" has incorrect format.\")\r\n    restoredValue <- NULL\r\n  }\r\n  if (!is.null(restoredValue)) {\r\n    restoredValue <- toJSON(restoredValue, strict_atomic = FALSE)\r\n  }\r\n  inputTag <- tags$input(\r\n    id = inputId, class = \"shiny-input-file\",\r\n    name = inputId, type = \"file\",\r\n    style = \"position: absolute !important; top: -99999px !important; left: -99999px !important;\",\r\n    `data-restore` = restoredValue\r\n  )\r\n  if (multiple) \r\n    inputTag$attribs$multiple <- \"multiple\"\r\n  if (length(accept) > 0) \r\n    inputTag$attribs$accept <- paste(accept, collapse = \",\")\r\n  if (!is.null(capture)) {\r\n    inputTag$attribs$capture <- capture\r\n  }\r\n  tags$label(style = \"margin-bottom:0\", span(class = \"btn btn-default\", list(icon, buttonLabel), inputTag))\r\n}\r\n\r\nactionButtonLoading <- function(inputId, label, icon = NULL, ...) {\r\n  busy_loading_class <- \"fa-spinner fa-spin\"\r\n  js_loading_busy <- sprintf(\r\n    \"$('#%s').attr('disabled', true); $('#%s i').toggleClass('%s');\",\r\n    inputId, inputId, busy_loading_class\r\n  )\r\n  actionButton(inputId, label, icon, onclick = js_loading_busy, ...)\r\n}\r\n","type":"text"},{"name":"R/emtr.R","content":"parameters_from_file <- function(parameters_file) {\r\n  params_type <- tools::file_ext(parameters_file)\r\n  if (params_type %in% c(\"xlsx\", \"xls\")) {\r\n    parameters_df <- openxlsx::read.xlsx(parameters_file, sheet = 1) %>% as.data.frame()\r\n    parameters <- parameters_from_df(parameters_df)\r\n  } else if (params_type %in% c(\"yaml\", \"yml\")) {\r\n    parameters <- yaml::read_yaml(parameters_file)\r\n  } else {\r\n    error_msg <- paste0(\"Unsupported params type: \", params_type)\r\n    stop(error_msg)\r\n  }\r\n  # Rename any missing app parameters if possible\r\n  renamed_app_params <- c(\r\n    \"FamilyAssistance_FTC_Rates_FirstChild\" = \"FamilyAssistance_FTC_Rates_FirstChild0to15\",\r\n    \"FamilyAssistance_FTC_Rates_SubsequentChild\" = \"FamilyAssistance_FTC_Rates_SecondChild0to12\",\r\n    \"FamilyAssistance_IWTC_Eligibility\" = \"FamilyAssistance_IWTC_IncomeTest\",\r\n    \"FamilyAssistance_IWTC_IncomeThreshold_Couple\" = \"FamilyAssistance_IWTC_IncomeThreshold\",\r\n    \"FamilyAssistance_IWTC_IncomeThreshold_Single\" = \"FamilyAssistance_IWTC_IncomeThreshold\"\r\n  )\r\n  for (app_param in names(renamed_app_params)) {\r\n    if (!(app_param %in% names(parameters))) {\r\n      tawa_param <- renamed_app_params[[app_param]]\r\n      if (tawa_param %in% names(parameters)) {\r\n        print(sprintf(\"Copying %s to %s\", tawa_param, app_param))\r\n        parameters[[app_param]] <- parameters[[tawa_param]]\r\n      } else {\r\n        error_msg <- sprintf(\r\n          \"Missing parameter, neither app (%s) nor tawa (%s) parameter found \",\r\n          app_param, tawa_param\r\n        )\r\n        stop(error_msg)\r\n      }\r\n    }\r\n  }\r\n  # Add defaults for any missing system params\r\n  default_system_params <- parameters_from_df(as.data.frame(PARAMS_TEMPLATE))\r\n  for (app_param in names(default_system_params)) {\r\n    if (!(app_param %in% names(parameters))) {\r\n      print(sprintf(\"Setting missing parameter %s to the default: %s\", app_param, default_system_params[app_param]))\r\n      parameters[[app_param]] <- default_system_params[[app_param]]\r\n    }\r\n  }\r\n  # Subset to only the required parameters, drop any extras\r\n  parameters <- parameters[names(default_system_params)]\r\n  return(parameters)\r\n}\r\n\r\nparameters_from_df <- function(parameters_df, parameters_column = 2) {\r\n  \r\n  Params_text <- parameters_df[complete.cases(parameters_df), c(1, parameters_column)]\r\n  \r\n  # Replace the names\r\n  Params_text$Parameter <- gsub(\"\\\\+\", \"_\", gsub(\"/\", \"_\", Params_text$Parameter))\r\n  \r\n  # Clean up the parameters\r\n  Params_text[, 2] <- gsub(\"\\\\\\\\\", \"/\", Params_text[, 2])\r\n  Params_text[, 2] <- gsub(\"\\\\[\\\\[\", \"rbind(c(\", Params_text[, 2])\r\n  Params_text[, 2] <- gsub(\"\\\\[\", \"c(\", Params_text[, 2])\r\n  Params_text[, 2] <- gsub(\"]\", \")\", Params_text[, 2])\r\n  Params_text[, 2] <- gsub(\";\", \",\", Params_text[, 2])\r\n  Params_text[, 2] <- gsub(\"'\", \"\", Params_text[, 2])\r\n  \r\n  Parameters <- vector(mode = \"list\", length = dim(Params_text)[1])\r\n  names(Parameters) <- Params_text$Parameter\r\n  \r\n  for (i in 1:nrow(Params_text)) {\r\n    if (!is.na(suppressWarnings(as.numeric(Params_text[i, 2])))) {\r\n      Parameters[[Params_text[i, 1]]] <- suppressWarnings(as.numeric(Params_text[i, 2]))\r\n    } else if (grepl(\"rbind\", Params_text[i, 2])) {\r\n      # AbatementScale or TaxScale - convert to list with thresholds and rates\r\n      a_matrix <- eval(parse(text = Params_text[i, 2]))\r\n      Parameters[[Params_text[i, 1]]] <- list(thresholds = a_matrix[, 1], rates = a_matrix[, 2])\r\n    } else {\r\n      Parameters[[Params_text[i, 1]]] <- Params_text[i, 2]\r\n    }\r\n  }\r\n  \r\n  return(Parameters)\r\n}\r\n\r\n\r\n\r\nwks_in_year <- function(year) {\r\n  is_leap_year <- (!(year %% 4) & (year %% 100)) | !(year %% 400)\r\n  if (is_leap_year) {\r\n    weeks <- 366/7\r\n  } else {\r\n    weeks <- 365/7\r\n  }\r\n  return(weeks)\r\n}\r\n\r\n# EMTR - effective marginal tax rate\r\nget_emtr <- function(net_income, next_net_income, steps_per_dollar) {\r\n  emtr <- 1 - steps_per_dollar*(next_net_income - net_income)\r\n  emtr <- zoo::na.locf(emtr)\r\n  return(emtr)\r\n}\r\n\r\n# RR - Replacement rate\r\nget_rr <- function(non_working_net_income, working_net_income) {\r\n  rr <- non_working_net_income / working_net_income\r\n  return(rr)\r\n}\r\n\r\n# PTR - Participation tax rate\r\nget_ptr <- function(net_income, gross_income) {\r\n  ptr <- 1 - (net_income - first(net_income)) / gross_income\r\n  return(ptr)\r\n}\r\n\r\n# The sum of these columns is the definition of Net_Income\r\nnet_income_components <- c(\r\n  \"net_wage\",\r\n  \"net_benefit\",\r\n  \"WFF_abated\",\r\n  \"MFTC\",\r\n  \"IETC_abated\",\r\n  \"WinterEnergy\",\r\n  \"BestStart_Total\",\r\n  \"AS_Amount\"\r\n)\r\n\r\n# Calculate EMTR, RR, and PTR; including decompositions of each rate\r\ncalculate_rates <- function(X, net_income_components, steps_per_dollar) {\r\n  # EMTR, including decomposition\r\n  X[, EMTR := get_emtr(Net_Income, shift(Net_Income, 1L, type = \"lead\"), steps_per_dollar)]\r\n  \r\n  X[, paste0(\"EMTR_\", net_income_components) := lapply(.SD, function(net_income_component) {\r\n    emtr_component <- get_emtr(\r\n      net_income = net_income_component,\r\n      next_net_income = shift(net_income_component, 1L, type = \"lead\"),\r\n      steps_per_dollar\r\n    ) - 1 # Subtract 1 from components\r\n    return(emtr_component)\r\n  }), .SDcols = net_income_components]\r\n  X[, EMTR_net_wage := EMTR_net_wage + 1] # Add 1 back for the main component\r\n  \r\n  # Replacement rate - note not linear in Net_Income,\r\n  # so for decomposition let's fix the working net income\r\n  X[, RR := get_rr(first(Net_Income), Net_Income)]\r\n  \r\n  X[, paste0(\"RR_\", net_income_components) := lapply(.SD, function(net_income_component) {\r\n    get_rr(\r\n      non_working_net_income = first(net_income_component),\r\n      working_net_income = Net_Income # Keep this fixed when calculating components\r\n    )\r\n  }), .SDcols = net_income_components]\r\n  \r\n  # Participation tax rate, including decomposition\r\n  X[, PTR := get_ptr(Net_Income, gross_wage1 + gross_wage2)]\r\n  \r\n  X[, paste0(\"PTR_\", net_income_components) := lapply(.SD, function(net_income_component) {\r\n    get_ptr(\r\n      net_income = net_income_component,\r\n      gross_income = gross_wage1 + gross_wage2\r\n    ) - 1 # Subtract 1 from components\r\n  }), .SDcols = net_income_components]\r\n  X[, PTR_net_wage := PTR_net_wage + 1] # Add 1 back for the main component\r\n  \r\n  return(X)\r\n}\r\n\r\nemtr <- function(\r\n  # System parameters\r\n  Parameters,\r\n  # Family parameters\r\n  Partnered = FALSE,\r\n  wage1_hourly = 16.50,\r\n  Children_ages = c(),\r\n  gross_wage2 = 0,\r\n  hours2 = 0,\r\n  AS_Accommodation_Costs = 0,\r\n  AS_Accommodation_Rent = TRUE,\r\n  AS_Area = 1L,\r\n  # Presentation parameters\r\n  max_wage = 1900,\r\n  steps_per_dollar = 1L,\r\n  weeks_in_year = NULL,\r\n  MFTC_WEP_scaling = NULL,\r\n  pov_thresholds = 0.5,\r\n  bhc_median = 43000,\r\n  ahc_median = 33100) {\r\n  \r\n  # Work out length of the year\r\n  model_year <- Parameters$modelyear\r\n  \r\n  if (is.null(weeks_in_year)){\r\n    weeks_in_year <- wks_in_year(model_year)\r\n  }\r\n  if (is.null(MFTC_WEP_scaling)) {\r\n    MFTC_WEP_scaling <- 1/weeks_in_year\r\n  } else {\r\n    MFTC_WEP_scaling <- MFTC_WEP_scaling / weeks_in_year\r\n  }\r\n  \r\n  # Pull AS MaxRates together\r\n  AS_MaxRate_Mortgage <- matrix(data=c(\r\n    Parameters$Accommodation_MaxRate_CoupleDeps_Single2_Deps_Area1,\r\n    Parameters$Accommodation_MaxRate_CoupleDeps_Single2_Deps_Area2,\r\n    Parameters$Accommodation_MaxRate_CoupleDeps_Single2_Deps_Area3,\r\n    Parameters$Accommodation_MaxRate_CoupleDeps_Single2_Deps_Area4,\r\n    Parameters$Accommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1,\r\n    Parameters$Accommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2,\r\n    Parameters$Accommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3,\r\n    Parameters$Accommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4,\r\n    Parameters$Accommodation_MaxRate_SingleNoDeps_Area1,\r\n    Parameters$Accommodation_MaxRate_SingleNoDeps_Area2,\r\n    Parameters$Accommodation_MaxRate_SingleNoDeps_Area3,\r\n    Parameters$Accommodation_MaxRate_SingleNoDeps_Area4\r\n  ),  nrow=4, ncol=3)\r\n  \r\n  AS_MaxRate_Rent <- matrix(data=c(\r\n    Parameters$Accommodation_MaxRate_CoupleDeps_Single2_Deps_Area1,\r\n    Parameters$Accommodation_MaxRate_CoupleDeps_Single2_Deps_Area2,\r\n    Parameters$Accommodation_MaxRate_CoupleDeps_Single2_Deps_Area3,\r\n    Parameters$Accommodation_MaxRate_CoupleDeps_Single2_Deps_Area4,\r\n    Parameters$Accommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1,\r\n    Parameters$Accommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2,\r\n    Parameters$Accommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3,\r\n    Parameters$Accommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4,\r\n    Parameters$Accommodation_MaxRate_SingleNoDeps_Area1,\r\n    Parameters$Accommodation_MaxRate_SingleNoDeps_Area2,\r\n    Parameters$Accommodation_MaxRate_SingleNoDeps_Area3,\r\n    Parameters$Accommodation_MaxRate_SingleNoDeps_Area4\r\n  ),  nrow=4, ncol=3)\r\n  \r\n  # Count and categorise children\r\n  N_kids <- length(Children_ages)\r\n  BS_abating_kids <- sum(Children_ages==1L) * (model_year >= 2020) +\r\n    sum(Children_ages==2L) * (model_year >= 2021)\r\n  \r\n  BS_nonabating_kids <- sum(Children_ages==0L) * (model_year >= 2019)\r\n\r\n  # Convert tax and abatement schedules to weekly -------------------------------\r\n  # Note that benefit abatement scales in TAWA parameters are weekly values scaled to annual assuming a 52.2 week year\r\n  # Other amounts are annual values, and weekly values are obtained by dividing by the number of weeks in a year,\r\n  # except where the legislation specifies otherwise.\r\n  convert_scale_to_weekly <- function(Scale, wks_in_year = 52L) {\r\n    Scale_Weekly <- Scale\r\n    Scale_Weekly$thresholds <- Scale_Weekly$thresholds / wks_in_year\r\n    return(Scale_Weekly)\r\n  }\r\n  \r\n  Tax_BaseScale_Weekly <-\r\n    convert_scale_to_weekly(Parameters$Tax_BaseScale, weeks_in_year)\r\n  Benefits_SPS_AbatementScale_Weekly <-\r\n    convert_scale_to_weekly(Parameters$Benefits_SPS_AbatementScale, 52.2)\r\n  Benefits_JSS_AbatementScale_Weekly <-\r\n    convert_scale_to_weekly(Parameters$Benefits_JSS_AbatementScale, 52.2)\r\n  Benefits_JSS_CoupleAbatementScale_Weekly <-\r\n    convert_scale_to_weekly(Parameters$Benefits_JSS_CoupleAbatementScale, 52.2)\r\n  FamilyAssistance_Abatement_AbatementScale_Weekly <-\r\n    convert_scale_to_weekly(Parameters$FamilyAssistance_Abatement_AbatementScale, 365/7)\r\n  IETC_AbatementScale_Weekly <-\r\n    convert_scale_to_weekly(Parameters$IETC_AbatementScale, weeks_in_year)\r\n  IWTC_PhaseInScale_Single_Weekly<-\r\n    convert_scale_to_weekly(Parameters$FamilyAssistance_IWTC_PhaseIn_Single, 52.2)\r\n  IWTC_PhaseInScale_Couple_Weekly<-\r\n    convert_scale_to_weekly(Parameters$FamilyAssistance_IWTC_PhaseIn_Couple, 52.2)  \r\n  FamilyAssistance_BestStart_Abatement_AbatementScale_Weekly <-\r\n    convert_scale_to_weekly(Parameters$FamilyAssistance_BestStart_Abatement_AbatementScale, 365/7)\r\n\r\n  \r\n  \r\n  # Convert rates to weekly------------------------------------------------------\r\n  ACC_max_Weekly <- Parameters$ACC_MaxLeviableIncome / weeks_in_year\r\n  FTC_eldest <- Parameters$FamilyAssistance_FTC_Rates_FirstChild / (365/7)\r\n  FTC_subsequent <- Parameters$FamilyAssistance_FTC_Rates_SubsequentChild / (365/7)\r\n  IWTC_first3 <- Parameters$FamilyAssistance_IWTC_Rates_UpTo3Children / 52L\r\n  IWTC_subsequent <- Parameters$FamilyAssistance_IWTC_Rates_SubsequentChildren / 52L\r\n  IETC_rate <- Parameters$IETC_PerYear / weeks_in_year\r\n  IETC_minimum_income <- Parameters$IETC_MinimalIncome / weeks_in_year\r\n  BS_Rate0 <- Parameters$FamilyAssistance_BestStart_Rates_Age0 / (365/7)\r\n  \r\n  BS_Rate1or2 <- Parameters$FamilyAssistance_BestStart_Rates_Age1or2 / (365/7)\r\n  \r\n  WE_Couple_or_Deps_amount <- Parameters$Benefits_WinterEnergy_Rates_CoupleOrDeps*\r\n    MFTC_WEP_scaling\r\n  \r\n  WE_Single_amount <- Parameters$Benefits_WinterEnergy_Rates_Single*\r\n    MFTC_WEP_scaling\r\n  \r\n  MFTC_amount <- Parameters$FamilyAssistance_MFTC_Rates_MinimumIncome / 52L\r\n  \r\n  # Calculate inverse thresholds for the tax system (weekly)\r\n  NIT <- Net_Thresholds(Tax_BaseScale_Weekly)\r\n  \r\n  # Assign benefit rates and abatement schedules ------------------------\r\n  if (Partnered == TRUE) {\r\n    # Couple family \r\n    if (N_kids == 0L) {\r\n      # No kids \r\n      Benefit1_Net_0hrs <- Parameters$Benefits_JSS_Rate_Couple\r\n      Benefit2_Net_0hrs <- Parameters$Benefits_JSS_Rate_Couple\r\n      Benefit_Abatement_Scale <- Benefits_JSS_CoupleAbatementScale_Weekly\r\n    } else {\r\n      # At least one kid\r\n      Benefit1_Net_0hrs <- Parameters$Benefits_JSS_Rate_CoupleParent\r\n      Benefit2_Net_0hrs <- Parameters$Benefits_JSS_Rate_CoupleParent\r\n      Benefit_Abatement_Scale <- Benefits_JSS_CoupleAbatementScale_Weekly\r\n    }\r\n    \r\n  } else {\r\n    # Single family \r\n    Benefit2_Net_0hrs <- 0\r\n    if (N_kids == 0) {\r\n      # No kids\r\n      Benefit1_Net_0hrs <- Parameters$Benefits_JSS_Rate_Single\r\n      Benefit_Abatement_Scale <- Benefits_JSS_AbatementScale_Weekly\r\n      \r\n    } else {\r\n      # At least one kid\r\n      if (min(Children_ages) < Parameters$Benefits_Entitlement_Age_SPS_ChildLowerBound) {\r\n        Benefit1_Net_0hrs <- Parameters$Benefits_SPS_Rate\r\n        Benefit_Abatement_Scale <- Benefits_SPS_AbatementScale_Weekly\r\n      } else {\r\n        # Special case for sole parent whose youngest children is older than\r\n        # Benefits_Entitlement_Age_SPS_ChildLowerBound so the rate is based on JSS,\r\n        # But AbatementScale is based on SPS\r\n        Benefit1_Net_0hrs <- Parameters$Benefits_JSS_Rate_SoleParent\r\n        Benefit_Abatement_Scale <- Benefits_SPS_AbatementScale_Weekly # NB!\r\n      }\r\n      \r\n    }\r\n  }\r\n  \r\n  # Assign AS abatement point, entry threshold, and maximum --------------------\r\n  if (N_kids > 0L & !Partnered) {\r\n    AS_Abate_Point <- \r\n      ceiling(weeks_in_year *\r\n                Abatement_Vanishing_Point(Benefits_JSS_AbatementScale_Weekly, \r\n                                          Parameters$Benefits_JSS_Rate_SoleParent))/weeks_in_year\r\n  }else{\r\n    AS_Abate_Point <-\r\n      ceiling(weeks_in_year * \r\n              Abatement_Vanishing_Point(Benefit_Abatement_Scale,\r\n                                        Benefit1_Net_0hrs))/weeks_in_year\r\n  }\r\n  \r\n  AS_entry_threshold <- \r\n    ifelse(AS_Accommodation_Rent,\r\n           Parameters$Accommodation_BaseRateThreshold_Rent,\r\n           Parameters$Accommodation_BaseRateThreshold_Mortgage) *\r\n    ((Benefit1_Net_0hrs + Benefit2_Net_0hrs) + (N_kids > 0L) * FTC_eldest)\r\n  \r\n  \r\n  if (AS_Accommodation_Rent){\r\n    AS_Maximum <-\r\n      AS_MaxRate_Rent[AS_Area, pmax(2L - N_kids - 1L * Partnered, 0L) + 1L]\r\n  } else {\r\n    AS_Maximum <-\r\n      AS_MaxRate_Mortgage[AS_Area, pmax(2L - N_kids - 1L * Partnered, 0L) + 1L]\r\n  }\r\n  \r\n  # Initiate the output table --------------------------------------------------\r\n  X <- data.table(gross_wage1 = seq(0, max_wage, 1 / steps_per_dollar))\r\n  X[, hours1 := gross_wage1 / wage1_hourly]\r\n  X[, gross_wage1_annual := weeks_in_year * gross_wage1]\r\n  \r\n  # Partner wage ---------------------------------------------------------------\r\n  X[, gross_wage2 := gross_wage2]\r\n\r\n  # These are zero by default --------------------------------------------------\r\n  X[, wage2_tax := 0]\r\n  X[, wage2_ACC_levy := 0]\r\n  X[, net_wage2 := 0]\r\n  X[, net_benefit2 := 0]\r\n  X[, gross_benefit2 := 0]\r\n\r\n  X[, IETC_abated1 := 0]\r\n  X[, IETC_abated2 := 0]\r\n\r\n  # Abate benefit --------------------------------------------------------------\r\n  X[, net_benefit1 := \r\n      Abate(TRUE, Benefit1_Net_0hrs, \r\n            Benefit_Abatement_Scale, gross_wage1 + gross_wage2)]\r\n\r\n  \r\n  \r\n  if (Partnered){\r\n    X[, net_benefit2 := Abate(TRUE, Benefit2_Net_0hrs, Benefit_Abatement_Scale,\r\n                              gross_wage1+gross_wage2)]\r\n  }\r\n  \r\n  # Assign IWTC ----------------------------------------------------------------\r\n  # Parameters$FamilyAssistance_IWTC_Eligibility\r\n  #  0 : hours test and do not give to beneficiaries\r\n  #  1 : income test\r\n  #  2 : phase in \r\n  if (Parameters$FamilyAssistance_IWTC_Eligibility == 1){\r\n    # Use income test \r\n    \r\n    # Assign income test based on single/couple\r\n    if (Partnered == TRUE){\r\n      IWTC_IncomeThreshold <- Parameters$FamilyAssistance_IWTC_IncomeThreshold_Couple/52.2\r\n    } else {\r\n      IWTC_IncomeThreshold <- Parameters$FamilyAssistance_IWTC_IncomeThreshold_Single/52.2\r\n    }\r\n    \r\n    # Eligible if have children and wage exceeds the threshold\r\n    X[, IWTC_eligible := 1L * (N_kids > 0L) * ((gross_wage1 + gross_wage2) >=\r\n                                                 IWTC_IncomeThreshold)]\r\n    \r\n    # Calculate unabated IWTC\r\n    X[, IWTC_unabated := IWTC_eligible * (IWTC_first3 + max(0L, N_kids - 3L) *\r\n                                            IWTC_subsequent)]\r\n    \r\n    # Parameters$FamilyAssistance_IWTC_ToBeneficiaries determines if beneficiaries are eligible for IWTC\r\n    # 0 : Not eligible\r\n    # 1 : Eligible\r\n    if (Parameters$FamilyAssistance_IWTC_ToBeneficiaries == 0){\r\n      # If IWTC eligible, zero out benefit\r\n      X[IWTC_unabated>0, \r\n        `:=`(net_benefit1 = 0,  net_benefit2 = 0)]\r\n    }\r\n    \r\n    # tidy up\r\n    X[, IWTC_eligible := NULL]\r\n    \r\n  } else if (Parameters$FamilyAssistance_IWTC_Eligibility == 2){\r\n    # Use phase-in method \r\n    \r\n    # Phase in scale\r\n    if (Partnered == TRUE){\r\n      IWTC_PhaseInScale_Weekly <- IWTC_PhaseInScale_Couple_Weekly\r\n    } else {\r\n      IWTC_PhaseInScale_Weekly <- IWTC_PhaseInScale_Single_Weekly\r\n    }\r\n    # Maximum amount\r\n    IWTC_max <- IWTC_first3 + max(0L, N_kids - 3L) * IWTC_subsequent\r\n    \r\n    # Calcuated phased-in/unabated amount\r\n    X[, IWTC_unabated := (N_kids > 0L)*\r\n        pmin(IWTC_max,\r\n             Abate(TRUE, 0, IWTC_PhaseInScale_Weekly, gross_wage1+gross_wage2))]\r\n  } else {\r\n    # Hours test and do not give to beneficiaries\r\n    \r\n    # Hours threshold\r\n    if (Partnered == TRUE){ \r\n      FullTimeWorkingHours <- Parameters$FamilyAssistance_FullTimeWorkingHours_Couple\r\n      \r\n    } else {\r\n      FullTimeWorkingHours <- Parameters$FamilyAssistance_FullTimeWorkingHours_Single\r\n    }\r\n    \r\n    X[, IWTC_eligible := 1L * (N_kids > 0L) * ((hours1 + hours2) >= FullTimeWorkingHours)]\r\n    \r\n    # Calculate unabated IWTC\r\n    X[, IWTC_unabated := IWTC_eligible * (IWTC_first3 + max(0L, N_kids - 3L) *\r\n                                            IWTC_subsequent)]\r\n    \r\n    # If receiving IWTC, zero out benefit\r\n    X[IWTC_unabated >0, \r\n      `:=`(net_benefit1 = 0, net_benefit2 = 0)]\r\n    \r\n    # tidy up\r\n    X[, IWTC_eligible := NULL]\r\n  }\r\n  \r\n  # Back out Gross benefit\r\n  X[, gross_benefit1 := Gross_From_Net(net_benefit1, NIT, Tax_BaseScale_Weekly)]\r\n  X[, gross_benefit1 := Gross_From_Net(net_benefit1, NIT, Tax_BaseScale_Weekly)]\r\n\r\n  \r\n  if (Partnered){\r\n    X[, gross_benefit2 := Gross_From_Net(net_benefit2, NIT, Tax_BaseScale_Weekly)]\r\n  }\r\n  \r\n  # Add wage on to benefit and tax\r\n  X[, gross_benefit_and_wage1 := gross_benefit1 + gross_wage1]\r\n  X[, net_benefit_and_wage1 := Net_From_Gross(gross_benefit_and_wage1, Tax_BaseScale_Weekly)]\r\n  X[, wage1_tax := (gross_benefit_and_wage1 - net_benefit_and_wage1) - \r\n      (gross_benefit1 - net_benefit1)]\r\n  \r\n  if (Partnered) {\r\n    X[, gross_benefit_and_wage2 := gross_benefit2 + gross_wage2]\r\n    X[, net_benefit_and_wage2 := Net_From_Gross(gross_benefit_and_wage2, Tax_BaseScale_Weekly)]\r\n    X[, wage2_tax := (gross_benefit_and_wage2 - net_benefit_and_wage2) - (gross_benefit2 - net_benefit2)]\r\n  }\r\n  \r\n  # Work out ACC levy\r\n  X[, wage1_ACC_levy := pmin(gross_wage1,ACC_max_Weekly)*Parameters$ACC_LevyRate]\r\n  \r\n  if (Partnered){\r\n    X[, wage2_ACC_levy := pmin(gross_wage2,ACC_max_Weekly)*Parameters$ACC_LevyRate]\r\n  }\r\n  \r\n  # Form net wage\r\n  X[, net_wage1 := gross_wage1 - wage1_tax - wage1_ACC_levy]\r\n  \r\n  if (Partnered){\r\n    X[, net_wage2 := gross_wage2 - wage2_tax - wage2_ACC_levy]\r\n  }\r\n  \r\n  # Form unabated FTC\r\n  X[, FTC_unabated := (N_kids>0L)*FTC_eldest+max(N_kids-1L,0L)*FTC_subsequent]\r\n  \r\n  \r\n  \r\n  # Hours test for MFTC ------------\r\n  \r\n  # Hours threshold\r\n  if (Partnered == TRUE){ \r\n    FullTimeWorkingHours <- Parameters$FamilyAssistance_FullTimeWorkingHours_Couple\r\n    \r\n  } else {\r\n    FullTimeWorkingHours <- Parameters$FamilyAssistance_FullTimeWorkingHours_Single\r\n  }\r\n  \r\n  \r\n  X[, MFTC_eligible :=  (N_kids > 0L) &\r\n      ((hours1 + hours2) >= FullTimeWorkingHours) &\r\n      ((net_benefit1 + net_benefit2) == 0)]\r\n  \r\n  \r\n  # Work out MFTC amount (if benefit == 0)\r\n  X[, MFTC := MFTC_eligible *\r\n      (pmax(MFTC_amount - (gross_wage1 + gross_wage2 - wage1_tax - wage2_tax),0))]\r\n  \r\n  \r\n  # tidy up\r\n  X[, MFTC_eligible := NULL]\r\n  \r\n  \r\n  # Abate FTC and IWTC ------------\r\n  X[, AbateAmount :=\r\n      Apply(gross_wage1 + gross_wage2 + gross_benefit1 + gross_benefit2,\r\n            FamilyAssistance_Abatement_AbatementScale_Weekly)]\r\n  \r\n  \r\n  # If FamilyAssistance_Abatement_Order has not been defined\r\n  # then define it with default value: 0\r\n  # So old parameter files should still work \r\n  if(is.null(Parameters$FamilyAssistance_Abatement_Order)){\r\n    Parameters$FamilyAssistance_Abatement_Order <- 0\r\n  }\r\n  \r\n  # Changing the order FTC and IWTC abatement ---------------------\r\n  if(Parameters$FamilyAssistance_Abatement_Order == 0){\r\n    # Abate FTC first then IWTC\r\n    X[, FTC_abated := pmax(0, FTC_unabated - AbateAmount)]\r\n    X[, RemainingAbatement := pmax(0, AbateAmount - FTC_unabated)]\r\n    X[, IWTC_abated := pmax(0, IWTC_unabated - RemainingAbatement)]\r\n  } else{\r\n    # Abate IWTC first then FTC\r\n    X[, IWTC_abated := pmax(0, IWTC_unabated - AbateAmount)]\r\n    X[, RemainingAbatement := pmax(0, AbateAmount - IWTC_unabated)]\r\n    X[, FTC_abated := pmax(0, FTC_unabated - RemainingAbatement)]\r\n  }\r\n  \r\n  # tidy up\r\n  X[, RemainingAbatement := NULL]\r\n  \r\n  # If receiving best start they shouldn’t be able to receive IETC ---------------\r\n  # Best Start ------------\r\n  X[, BestStart_Universal := BS_nonabating_kids*BS_Rate0]\r\n  X[, BestStart_Abated := Abate(TRUE, BS_abating_kids*BS_Rate1or2,\r\n                                FamilyAssistance_BestStart_Abatement_AbatementScale_Weekly,\r\n                                gross_wage1+gross_wage2+gross_benefit1+gross_benefit2)]\r\n  X[, BestStart_Total := BestStart_Universal + BestStart_Abated]\r\n  \r\n  \r\n  # Work out IETC -----------\r\n  X[, IETC_eligible1 := (net_benefit1 == 0) & (FTC_abated == 0) &\r\n      (IWTC_abated == 0) & (MFTC == 0) & (BestStart_Total == 0) &\r\n      (gross_wage1 >= IETC_minimum_income)]\r\n  \r\n  X[IETC_eligible1 == TRUE, \r\n    IETC_abated1 := Abate(TRUE, IETC_rate, IETC_AbatementScale_Weekly, \r\n                          gross_wage1)]\r\n  \r\n  \r\n  X[, IETC_eligible2 := (net_benefit2 == 0) & (FTC_abated == 0) & \r\n      (IWTC_abated == 0) & (MFTC == 0) & (BestStart_Total == 0) & \r\n      (gross_wage2 >= IETC_minimum_income)]\r\n  \r\n  \r\n  X[IETC_eligible2 == TRUE, \r\n    IETC_abated2 := Abate(TRUE, IETC_rate, IETC_AbatementScale_Weekly, gross_wage2)]\r\n   \r\n  \r\n  X[Parameters$IETC_OnlyFamiliesWithoutChildren == TRUE & N_kids > 0L, \r\n    ':=' (IETC_abated1 = 0,\r\n          IETC_abated2 = 0)]\r\n  \r\n  # tidy up\r\n  X[, IETC_eligible1 := NULL]\r\n  X[, IETC_eligible2 := NULL]\r\n  \r\n  \r\n  \r\n  \r\n  # Winter Energy --------\r\n  X[, WE_Couple_or_Deps := 0]\r\n  X[, WE_Single := 0]\r\n  \r\n  X[, WE_eligible := (net_benefit1 + net_benefit2) > 0]\r\n  \r\n  X[, WE_Couple_or_Deps_eligible := WE_eligible == TRUE & \r\n      (N_kids > 0L | Partnered)]\r\n\r\n  X[WE_Couple_or_Deps_eligible == TRUE,\r\n    WE_Couple_or_Deps := WE_Couple_or_Deps_amount]\r\n\r\n  X[, WE_Single_eligible :=  WE_eligible == TRUE & \r\n      ((!Partnered) & N_kids == 0L)]\r\n\r\n  X[WE_eligible == TRUE & WE_Single_eligible == TRUE,\r\n    WE_Single := WE_Single_amount]\r\n  \r\n  X[, WinterEnergy := WE_Couple_or_Deps +  WE_Single]\r\n\r\n  # tidy up\r\n  X[, WE_eligible := NULL]\r\n  X[, WE_Couple_or_Deps := NULL]\r\n  X[, WE_Couple_or_Deps_eligible := NULL]\r\n  X[, WE_Single := NULL]\r\n  X[, WE_Single_eligible := NULL]\r\n  \r\n  # Accommodation Supplement -----------\r\n  X[, AS_Amount := pmax(\r\n    pmin(Parameters$Accommodation_PaymentPercentage * (AS_Accommodation_Costs - AS_entry_threshold),\r\n         AS_Maximum) -\r\n      pmax(gross_wage1 + gross_wage2 - AS_Abate_Point, 0) * \r\n      Parameters$Accommodation_AbatementRate * ((net_benefit1 + net_benefit2) == 0), 0)]\r\n  \r\n  # Combo columns\r\n  X[, \":=\"(\r\n    net_wage = net_wage1 + net_wage2,\r\n    net_benefit = net_benefit1 + net_benefit2,\r\n    benefit_tax = -(gross_benefit1 + gross_benefit2 - net_benefit1 - net_benefit2),\r\n    gross_wage = gross_wage1 + gross_wage2,\r\n    wage_tax_and_ACC = -(wage1_tax + wage2_tax + wage1_ACC_levy + wage2_ACC_levy),\r\n    IETC_abated = IETC_abated1 + IETC_abated2,\r\n    WFF_abated = FTC_abated + IWTC_abated\r\n  )]\r\n  \r\n  # Net income - see definition of `net_income_components`\r\n  # As in TAWA proc the disposable income is calculated as: \r\n  # P_Income_Total + P_FamilyAssistance_Total + P_TaxCredit_IETC - P_Income_TaxPayable - P_ACC_LevyPayable\r\n  # Same definition as \"Net_Income\", so use \"Net_Income\" as disposable income.\r\n  X[, Net_Income := rowSums(.SD), .SDcols = net_income_components]\r\n  X[, Net_Income_annual := Net_Income*weeks_in_year]\r\n  \r\n  # Calculate EMTRs, RRs, and PTRs; and their decomposition into each\r\n  # net income component\r\n  X <- calculate_rates(X, net_income_components, steps_per_dollar)\r\n  \r\n  # Number of children under 14\r\n  LT_14 <- sum(Children_ages < 14)\r\n  \r\n  # Number of children over 14\r\n  GTE_14 <- sum( Children_ages >= 14) + ifelse(Partnered == FALSE, 1, 2)\r\n  \r\n  # Modified OECD\r\n  moecd_eq_factor <- 1 + 0.5 * (GTE_14 - 1) + 0.3 * (LT_14)\r\n  \r\n  # Equivalised Income\r\n  X[, Equivalised_Income := Net_Income / moecd_eq_factor]\r\n\r\n  # BHC Depth\r\n  X[, BHC_Depth := (moecd_eq_factor * (pov_thresholds*bhc_median - pmax(0, Equivalised_Income*weeks_in_year)))/weeks_in_year]\r\n \r\n  # After housing cost disposable income\r\n  X[, AHC_Net_Income := Net_Income - AS_Accommodation_Costs]\r\n  \r\n  # Equivalised Income\r\n  X[, AHC_Equivalised_Income := AHC_Net_Income / moecd_eq_factor]\r\n  \r\n  # AHC Depth\r\n  X[, AHC_Depth := (moecd_eq_factor * (pov_thresholds*ahc_median - pmax(0, AHC_Equivalised_Income*weeks_in_year)))/weeks_in_year]\r\n  \r\n  # Unequivalised median\r\n  X[, \":=\" (BHC_Unequiv_Poverty_Line = pov_thresholds * moecd_eq_factor * bhc_median,\r\n            AHC_Unequiv_Poverty_Line = pov_thresholds * moecd_eq_factor * ahc_median,\r\n            Eq_Factor = moecd_eq_factor)]\r\n  \r\n  return(X)\r\n}\r\n\r\n\r\n","type":"text"},{"name":"R/estimate_MFTC_rates.R","content":"##### Find Net income crossing for staying on benefit vs getting IWTC ####\r\n## Then MFTC is the gross_wage - wage_tax + net_income_diff amount\r\n## at the point just before the crossing.\r\n\r\nfind_MFTC <- function(\r\n  emtr_on_ben,\r\n  emtr_working,\r\n  min_wage,\r\n  ben_hours_test\r\n) {\r\n  wage_threshold <- min_wage*ben_hours_test\r\n  start_index <- emtr_on_ben[gross_wage1 < wage_threshold, .N]\r\n  \r\n  # Check if there is a crossing\r\n  net_income_diff <-\r\n    emtr_on_ben[gross_wage1 >= wage_threshold, Net_Income] -\r\n      emtr_working[gross_wage1 >= wage_threshold, Net_Income]\r\n  MFTC_required <- any(net_income_diff > 0) & any(net_income_diff < 0)\r\n  \r\n  if (!MFTC_required) {\r\n    print(\"MFTC not required\")\r\n    proposed_MFTC <- NA\r\n  } else {\r\n    relative_crossing_index <- which(net_income_diff < 0)[1] - 1\r\n    crossing_index <- start_index + relative_crossing_index\r\n    \r\n    boost <- net_income_diff[relative_crossing_index]\r\n    \r\n    proposed_MFTC_weekly <- emtr_working[\r\n      crossing_index, gross_wage1 - wage1_tax + gross_wage2 - wage2_tax + boost\r\n    ]\r\n    proposed_MFTC <- ceiling(proposed_MFTC_weekly)*52L\r\n    if (is.na(proposed_MFTC)) {\r\n      stop(\"MFTC estimated to be NA but there should have been a zero crossing\")\r\n    }\r\n  }\r\n  return(proposed_MFTC)\r\n}\r\n\r\n#' Estimate MFTC rates for a given parameter file\r\n#'\r\n#' @param parameter_file Parameter file (*.xlsx) in the IncomeExplorer format\r\n#'                       supported by the `emtr` function\r\n#' @param min_wage Minimum wage\r\n#' @param steps_per_dollar Number of steps to calculate, per dollar of gross earned income\r\n#' @param WEP_scaling Scaling of the annual Winter Energy amount.\r\n#'                    Prior to Budget 2021, was 12/5 (annualised winter week).\r\n#'                    Since Budget 2021, defaults to 1 (average over year).\r\n#'\r\n#' @return\r\n#' @export\r\n#'\r\n#' @examples\r\nestimate_MFTC_rates <- function(\r\n  parameter_file,\r\n  min_wage,\r\n  steps_per_dollar = 1L,\r\n  WEP_scaling = 1\r\n) {\r\n  parameters <- parameters_from_file(parameter_file)\r\n\r\n  # Parameters for family working and not on benefit (IWTC not turned off)\r\n  parameters_NoMFTC <- copy(parameters)\r\n  parameters_NoMFTC$FamilyAssistance_MFTC_Rates_MinimumIncome <- 0\r\n  \r\n  # Parameters for family on Benefit and working (IWTC turned off)\r\n  parameters_NoMFTC_NoIWTC <- copy(parameters_NoMFTC)\r\n  parameters_NoMFTC_NoIWTC$FamilyAssistance_IWTC_Rates_UpTo3Children <- 0\r\n  parameters_NoMFTC_NoIWTC$FamilyAssistance_IWTC_Rates_SubsequentChildren <- 0\r\n  \r\n  ##### Family 1 - JSS couple, 50/50 income split\r\n  MFTC_Couple_5050_working <- emtr(\r\n    parameters_NoMFTC,\r\n    Partnered = T,\r\n    wage1_hourly = min_wage,\r\n    Children_ages = c(10),\r\n    gross_wage2 = min_wage*15,\r\n    hours2 = 15,\r\n    AS_Accommodation_Costs = 0,\r\n    AS_Accommodation_Rent = T,\r\n    AS_Area = 1L,\r\n    max_wage = min_wage*50,\r\n    steps_per_dollar = steps_per_dollar,\r\n    weeks_in_year = 52L,\r\n    MFTC_WEP_scaling = WEP_scaling\r\n  )\r\n  \r\n  MFTC_Couple_5050_benefit <- emtr(\r\n    parameters_NoMFTC_NoIWTC,\r\n    Partnered = T,\r\n    wage1_hourly = min_wage,\r\n    Children_ages = c(10),\r\n    gross_wage2 = min_wage*15,\r\n    hours2 = 15,\r\n    AS_Accommodation_Costs = 0,\r\n    AS_Accommodation_Rent = T,\r\n    AS_Area = 1L,\r\n    max_wage = min_wage*50,\r\n    steps_per_dollar = steps_per_dollar,\r\n    weeks_in_year = 52L,\r\n    MFTC_WEP_scaling = WEP_scaling\r\n  )\r\n  \r\n  # Family 2 - SPS sole parent\r\n  MFTC_SoleParent_working <- emtr(\r\n    parameters_NoMFTC,\r\n    Partnered = F,\r\n    wage1_hourly = min_wage,\r\n    Children_ages = c(10),\r\n    gross_wage2 = 0,\r\n    hours2 = 0,\r\n    AS_Accommodation_Costs = 0,\r\n    AS_Accommodation_Rent = T,\r\n    AS_Area = 1L,\r\n    max_wage = min_wage*50,\r\n    steps_per_dollar = steps_per_dollar,\r\n    weeks_in_year = 52L,\r\n    MFTC_WEP_scaling = WEP_scaling\r\n  )\r\n  \r\n  MFTC_SoleParent_benefit <- emtr(\r\n    parameters_NoMFTC_NoIWTC,\r\n    Partnered = F,\r\n    wage1_hourly = min_wage,\r\n    Children_ages = c(10),\r\n    gross_wage2 = 0,\r\n    hours2 = 0,\r\n    AS_Accommodation_Costs = 0,\r\n    AS_Accommodation_Rent = T,\r\n    AS_Area = 1L,\r\n    max_wage = min_wage*50,\r\n    steps_per_dollar = steps_per_dollar,\r\n    weeks_in_year = 52L,\r\n    MFTC_WEP_scaling = WEP_scaling\r\n  )\r\n  \r\n  ##### Find Net income crossing for staying on benefit vs getting IWTC ####\r\n  ## Then MFTC is the gross_wage - wage_tax amount at the crossing.\r\n  proposed_MFTC_SoleParent <- find_MFTC(\r\n    MFTC_SoleParent_benefit,\r\n    MFTC_SoleParent_working,\r\n    min_wage = min_wage,\r\n    ben_hours_test = 20\r\n  )\r\n  \r\n  proposed_MFTC_Couple_5050 <- find_MFTC(\r\n    MFTC_Couple_5050_benefit,\r\n    MFTC_Couple_5050_working,\r\n    min_wage = min_wage,\r\n    ben_hours_test = 15\r\n  )\r\n  \r\n  out <- data.table(\r\n    File = basename(parameter_file),\r\n    Family = c(\"Couple_50-50\", \"SoleParent\"),\r\n    MFTC_minincome = c(proposed_MFTC_Couple_5050, proposed_MFTC_SoleParent)\r\n  )\r\n  return(out)\r\n}\r\n","type":"text"},{"name":"R/estimate_parameter_files.R","content":"DEFAULT_MIN_WAGES <- c(\r\n  \"2014\" = 13.75,\r\n  \"2015\" = 14.25,\r\n  \"2016\" = 14.75,\r\n  \"2017\" = 15.25,\r\n  \"2018\" = 15.75,\r\n  \"2019\" = 16.50,\r\n  \"2020\" = 17.70,\r\n  \"2021\" = 18.90,\r\n  \"2022\" = 20.00,\r\n  \"2023\" = 21.20,\r\n  \"2024\" = 22.70,\r\n  # Assumes the minimum wage is unchanged for future tax years\r\n  \"2025\" = 22.70,\r\n  \"2026\" = 22.70,\r\n  \"2027\" = 22.70\r\n)\r\n\r\nestimate_MFTC_from_files <- function(\r\n  parameter_files,\r\n  min_wages = DEFAULT_MIN_WAGES,\r\n  WEP_scaling = 1\r\n) {\r\n  estimated_MFTC_rates <- data.table()\r\n  for (parameter_file in parameter_files){\r\n    tax_year <- parameter_file %>% basename() %>%\r\n      stringr::str_extract(\"TY[0-9]{2}\") %>%\r\n      stringr::str_remove(\"TY\") %>% as.numeric()\r\n    tax_year <- tax_year + 2000\r\n    if (tax_year > 2023) {\r\n      logging::logwarn(\r\n        \"Minimum wage for tax year %d is not legislated yet, subject to change\",\r\n        tax_year\r\n      )\r\n    }\r\n    if (tax_year %in% names(min_wages)) {\r\n      min_wage <- min_wages[[as.character(tax_year)]]\r\n    } else {\r\n      stop(\"Minimum wage not defined for tax year \", tax_year)\r\n    }\r\n    this_MFTC_rates <- estimate_MFTC_rates(\r\n      parameter_file,\r\n      min_wage = min_wage,\r\n      steps_per_dollar = 52L,\r\n      WEP_scaling = WEP_scaling\r\n    )\r\n    \r\n    estimated_MFTC_rates <- rbind(estimated_MFTC_rates, this_MFTC_rates, fill = TRUE)\r\n  }\r\n  \r\n  estimated_MFTC_rates[, max_MFTC := max(MFTC_minincome), by = File]\r\n  return(estimated_MFTC_rates)\r\n}","type":"text"},{"name":"R/get_js_download_file.R","content":"# Based on the `create_blob` function of downloadthis\r\n# https://github.com/fmmattioni/downloadthis/blob/master/R/utils.R\r\nget_js_download_file <- function(server_file_path, download_file_name) {\r\n  base64_data <- sprintf(\r\n    \"data:%s;base64,%s\",\r\n    mime::guess_type(file = server_file_path),\r\n    base64enc::base64encode(server_file_path)\r\n  )\r\n  js_function <- sprintf(\r\n    \"\r\n      fetch('%s').then(res => res.blob()).then(blob => {\r\n        const downloadURL = window.URL.createObjectURL(blob);\r\n        const a = document.createElement('a');\r\n        a.style.display = 'none'; // Hide the link\r\n        document.body.appendChild(a);\r\n        a.href = downloadURL;\r\n        a.download = '%s';\r\n        a.click();\r\n        window.URL.revokeObjectURL(downloadURL);\r\n        document.body.removeChild(a);\r\n        return false;\r\n      });\",\r\n    base64_data, download_file_name\r\n  )\r\n  return(js_function)\r\n}\r\n\r\nsave_app_results <- function(details, parameter_differences, scenario_incomes, output_path) {\r\n  scenario_names <- scenario_incomes[, unique(Scenario)]\r\n  \r\n  wb <- openxlsx::createWorkbook()\r\n  openxlsx::addWorksheet(wb, \"Details\")\r\n  openxlsx::writeData(wb, \"Details\", names(details), startCol = 1)\r\n  openxlsx::writeData(wb, \"Details\", details, startCol = 2)\r\n  \r\n  if (length(scenario_names) > 1) {\r\n    # Parameters that changed\r\n    openxlsx::addWorksheet(wb, \"Scenario Differences\")\r\n    openxlsx::writeData(wb, \"Scenario Differences\", parameter_differences)\r\n  }\r\n  \r\n  # Full sets of results (should probably be more selective)\r\n  for (scenario in scenario_names) {\r\n    openxlsx::addWorksheet(wb, scenario)\r\n    openxlsx::writeData(wb, scenario, scenario_incomes[Scenario == scenario])\r\n  }\r\n  openxlsx::saveWorkbook(wb, output_path, overwrite = TRUE)\r\n}\r\n","type":"text"},{"name":"R/params_template.R","content":"PARAMS_TEMPLATE <- data.table::as.data.table(tibble::tribble(\r\n  ~Parameter, ~Default_Value, ~Description,\r\n  \"modelyear\", \"0\", 'Tax year that you are modelling',\r\n  \"ACC/LevyRate\", \"0\", 'Rate is specified with each forecast update',\r\n  \"ACC/MaxLeviableIncome\", \"0\", 'Specified with each forecast update',\r\n  \"Accommodation/AbatementRate\", \"0\", 'Abatement rate for AS payments (currently 0.25, so lose 25c for every extra dollar earned)',\r\n  \"Accommodation/BaseRateThreshold/Mortgage\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/BaseRateThreshold/Rent\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/CoupleDeps/Single2/Deps/Area1\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/CoupleDeps/Single2/Deps/Area2\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/CoupleDeps/Single2/Deps/Area3\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/CoupleDeps/Single2/Deps/Area4\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/CoupleNoDeps/Single1Dep/Area1\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/CoupleNoDeps/Single1Dep/Area2\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/CoupleNoDeps/Single1Dep/Area3\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/CoupleNoDeps/Single1Dep/Area4\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/SingleNoDeps/Area1\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/SingleNoDeps/Area2\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/SingleNoDeps/Area3\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/MaxRate/SingleNoDeps/Area4\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Accommodation/PaymentPercentage\", \"0\", 'AS = min[MaxRate, (PaymentPercentage) * (HousingCosts - (BaseRateThreshold)*BaseIncome)].',\r\n  \"Benefits/JSS/AbatementScale\", \"[['0'; '0']]\", 'Job Seeker Support settings',\r\n  \"Benefits/JSS/CoupleAbatementScale\", \"[['0'; '0']]\", 'Job Seeker Support settings',\r\n  \"Benefits/JSS/Rate/Couple\", \"0\", 'Job Seeker Support settings',\r\n  \"Benefits/JSS/Rate/CoupleParent\", \"0\", 'Job Seeker Support settings',\r\n  \"Benefits/JSS/Rate/Single\", \"0\", 'Job Seeker Support settings',\r\n  \"Benefits/JSS/Rate/SoleParent\", \"0\", 'Job Seeker Support settings',\r\n  \"Benefits/SPS/AbatementScale\", \"[['0'; '0']]\", 'Sole Parent Support settings',\r\n  \"Benefits/SPS/Rate\", \"0\", 'Sole Parent Support settings',\r\n  \"Benefits/Entitlement/Age/SPS/ChildLowerBound\", \"0\", 'Age threshold for the youngest child such that an individual is eligible for SPS',\r\n  \"Benefits/WinterEnergy/Rates/Single\", \"0\", 'Winter energy payment amount. Given to families receiving a core benefit or NZ Super. ',\r\n  \"Benefits/WinterEnergy/Rates/CoupleOrDeps\", \"0\", 'Winter energy payment amount. Given to families receiving a core benefit or NZ Super. ',\r\n  \"FamilyAssistance/Abatement/AbatementScale\", \"[['0'; '0']]\", 'Working for Families abatement',\r\n  \"FamilyAssistance/Abatement/Order\", \"0\", 'Working for Families abatement FTC and IWTC order. 0 (default): FTC first then IWTC, 1: IWTC first then FTC.',\r\n  \"FamilyAssistance/FTC/Rates/FirstChild\", \"0\", 'Family Tax Credit amount for first child',\r\n  \"FamilyAssistance/FTC/Rates/SubsequentChild\", \"0\", 'Family Tax Credit amount for subsequent children',\r\n  \"FamilyAssistance/IWTC/Rates/UpTo3Children\", \"0\", 'In Work Tax Credit amount given for up to three children',\r\n  \"FamilyAssistance/IWTC/Rates/SubsequentChildren\", \"0\", 'In Work Tax Credit amount for each subsequent child',\r\n  \"FamilyAssistance/IWTC/Eligibility\", \"0\", 'Eligibility test for In Work Tax Credit. 0: Status quo, based on hours worked and not given to beneficiaries. 1: Income test, option to give to beneficiaries (see below), 2: Phase in amount of IWTC based on phase-in scales (see below).',\r\n  \"FamilyAssistance/FullTimeWorkingHours/Couple\", \"0\", 'Number of hours for a couple to be classified as working full time, for IWTC and MFTC eligibility  (FamilyAssistance/IWTC/Eligibility must be set to 0)',\r\n  \"FamilyAssistance/FullTimeWorkingHours/Single\", \"0\", 'Number of hours for a single parent to be classified as working full time, for IWTC and MFTC eligibility (FamilyAssistance/IWTC/Eligibility must be set to 0)',\r\n  \"FamilyAssistance/IWTC/IncomeThreshold/Single\", \"0\", 'Income test for a single parent to receive IWTC and MFTC (FamilyAssistance/IWTC/Eligibility must be set to 1)',\r\n  \"FamilyAssistance/IWTC/IncomeThreshold/Couple\", \"0\", 'Income test for a couple to receive IWTC and MFTC (FamilyAssistance/IWTC/Eligibility must be set to 1)',\r\n  \"FamilyAssistance/IWTC/ToBeneficiaries\", \"0\", 'Determines if beneficiaries can receive IWTC (FamilyAssistance/IWTC/Eligibility must be set to 1)',\r\n  \"FamilyAssistance/IWTC/PhaseIn/Single\", \"[['0'; '0']]\", 'Single parent phase-in scale for IWTC, e.g. a phase-in scale of 20% is specified as -0.2 (FamilyAssistance/IWTC/Eligibility must be set to 2)',\r\n  \"FamilyAssistance/IWTC/PhaseIn/Couple\", \"[['0', '0']]\", 'Couple phase-in scale for IWTC, e.g. a phase-in scale of 20% is specified as -0.2 (FamilyAssistance/IWTC/Eligibility must be set to 2)',\r\n  \"FamilyAssistance/MFTC/Rates/MinimumIncome\", \"0\", 'Minimum income that ensures that a family is better off in work than on benefit; the Minimum Family Tax Credit brings their income up to this amount. Value is calculated by the TAWA version of the IRD calculator.',\r\n  \"FamilyAssistance/BestStart/Abatement/AbatementScale\", \"[['0'; '0']]\", 'Abatement scale for Best Start payments (however best start payments for 0 year olds are not abated)',\r\n  \"FamilyAssistance/BestStart/Rates/Age0\", \"0\", 'Best start rate for a 0 year old',\r\n  \"FamilyAssistance/BestStart/Rates/Age1or2\", \"0\", 'Best start rate for 1 and 2 year olds',\r\n  \"IETC/AbatementScale\", \"[['0'; '0']]\", 'Independent Earner Tax Credit, abatement scale',\r\n  \"IETC/MinimalIncome\", \"0\", 'Independent Earner Tax Credit, minimum bound on earned income to determine eligibility',\r\n  \"IETC/PerYear\", \"0\", 'Independent Earner Tax Credit, amount for each year',\r\n  \"IETC/OnlyFamiliesWithoutChildren\", \"0\", 'Independent Earner Tax Credit, 0: give to everyone, 1: only give to families without children',\r\n  \"Tax/BaseScale\", \"[['0'; '0']]\", 'Tax scale',\r\n  \"MFTC_WEP_scaling\", \"1\", 'How should the Winter Energy Payment be scaled? Average week = 1, Winter week = 12/5, Summer week = 0',\r\n  \"WFF_or_Benefit\", \"Max\", 'What work decision should we assume? Go off-benefit and receive IWTC = \"WFF\", stay on-benefit = \"Benefit\", or whichever gives a higher net income = \"Max\"'\r\n))","type":"text"},{"name":"R/reformat_parameters.R","content":"# Convert TAWA parameter files to IncomeExplorer app parameter files\r\nTAWA_to_app_param_files <- function(\r\n  input_param_paths, output_param_dir, output_prefix,\r\n  output_template_path = \"App_Parameters_Template.xlsx\") {\r\n  \r\n  # Rename\r\n  new_names <- data.table(\r\n    Parameter = c(\r\n      \"FamilyAssistance/FTC/Rates/FirstChild0to15\",\r\n      \"FamilyAssistance/FTC/Rates/SecondChild0to12\",\r\n      \"FamilyAssistance/IWTC/IncomeTest\",\r\n      \"FamilyAssistance/IWTC/IncomeThreshold\",\r\n      \"FamilyAssistance/IWTC/IncomeThreshold\"\r\n    ),\r\n    New_Parameter = c(\r\n      \"FamilyAssistance/FTC/Rates/FirstChild\",\r\n      \"FamilyAssistance/FTC/Rates/SubsequentChild\",\r\n      \"FamilyAssistance/IWTC/Eligibility\",\r\n      \"FamilyAssistance/IWTC/IncomeThreshold/Couple\",\r\n      \"FamilyAssistance/IWTC/IncomeThreshold/Single\"\r\n    )\r\n  ) \r\n  # template\r\n  wb_template <- openxlsx::loadWorkbook(output_template_path)\r\n  parameters <- openxlsx::readWorkbook(wb_template) %>% setDT()\r\n  parameters <- parameters[, .(Parameter,Value, .I)]\r\n  \r\n  for (old_file in input_param_paths) {\r\n    # old file\r\n    old_parameters <- openxlsx::readWorkbook(old_file) %>% setDT()\r\n    setnames(old_parameters, c(\"Parameter\", \"Value\"))\r\n    \r\n    old_parameters <- merge(old_parameters, new_names, by = \"Parameter\", all = TRUE)\r\n    changed_parameters <- old_parameters[\r\n      New_Parameter != Parameter, .(old = Parameter, new = New_Parameter)\r\n    ]\r\n    \r\n    old_parameters[is.na(New_Parameter), New_Parameter := Parameter]\r\n    old_parameters <- old_parameters[, .(Parameter = New_Parameter, Value)]\r\n    \r\n    # merge existing values with template structure\r\n    new_parameters <- merge(\r\n      parameters, old_parameters,\r\n      by = \"Parameter\", all = TRUE\r\n    )\r\n    new_parameters[, Value := Value.y]\r\n    new_parameters[is.na(Value.y), Value := Value.x]\r\n    \r\n    logging::loginfo(paste0(\"Reformatting file: \", old_file))\r\n    logging::loginfo(paste0(\"Dropped Parameters: \", new_parameters[is.na(Value.x), Parameter]))\r\n    logging::loginfo(paste0(\"New Parameters: \", new_parameters[is.na(Value.y), Parameter]))\r\n    logging::loginfo(paste0(\"Renamed Parameters: \", changed_parameters[, new]))\r\n    \r\n    # save new parameters\r\n    new_parameters <- new_parameters[!is.na(Value.x)]\r\n    openxlsx::writeData(\r\n      wb_template, 1,\r\n      new_parameters[order(I), .(Parameter, Value)],\r\n      startRow = 2, startCol = 2\r\n    )\r\n    output_path <- file.path(output_param_dir, paste0(output_prefix, basename(old_file)))\r\n    openxlsx::saveWorkbook(wb_template, output_path, overwrite = TRUE)\r\n  }\r\n}\r\n","type":"text"},{"name":"R/save_excel_parameters.R","content":"scale_vector_to_tawa_param_string <- function(x) {\r\n  thresholds <- x$thresholds\r\n  rates <- x$rates\r\n  combined <- purrr::map2(thresholds, rates, function(threshold, rate) {\r\n    paste0(\"['\", threshold, \"'; '\", rate, \"']\")\r\n  })\r\n  out <- paste0(\"[\", paste0(combined, collapse = \"; \"), \"]\")\r\n  return(out)\r\n}\r\n\r\nsave_excel_params <- function(\r\n    params, output_path,\r\n    firstRow = 2, firstCol = 2,\r\n    params_output_template = PARAMS_TEMPLATE\r\n) {\r\n  params <- copy(params)\r\n  \r\n  # Encode Scales as the string \"[['x1', 'x2']; ['y1', 'y2']]\"\r\n  scale_cols <- names(params) %>% .[. %like% \"Scale$|PhaseIn\"]\r\n  for (scale_col in scale_cols) {\r\n    params[[scale_col]] <- scale_vector_to_tawa_param_string(params[[scale_col]])\r\n  }\r\n  \r\n  params_dt <- transpose(as.data.table(params), keep.names = \"Parameter\")\r\n  setnames(params_dt, \"V1\", \"Value\")\r\n  params_dt[\r\n    !(Parameter %in% c(\"MFTC_WEP_scaling\", \"WFF_or_Benefit\")),\r\n    Parameter := stringr::str_replace_all(Parameter, \"_\", \"/\")\r\n  ]\r\n  \r\n  params_dt <- merge(params_output_template[, .(Parameter, Description)], params_dt, by = \"Parameter\")\r\n  params_dt[, Parameter := factor(Parameter, levels = unique(params_output_template$Parameter))]\r\n  setorder(params_dt, Parameter)\r\n  setcolorder(params_dt, c(\"Parameter\", \"Value\", \"Description\"))\r\n  \r\n  # Styling variables\r\n  STYLE_HEADER_FONT <- openxlsx::createStyle(fontSize = 13, fontColour = \"#1F497D\", textDecoration = \"bold\")\r\n  STYLE_BORDER_BOTTOM <- openxlsx::createStyle(border = \"bottom\")\r\n  STYLE_NORMAL <- openxlsx::createStyle(fgFill = \"#DCE6F1\", halign = \"left\")\r\n  STYLE_HIGHLIGHTED_BLUE <- openxlsx::createStyle(fgFill = \"#B8CCE4\")\r\n\r\n  # Calculate parameter groups so we can give borders around them\r\n  dt_param_names <- copy(params_dt)\r\n  dt_param_names[, row := .I]\r\n\r\n  # Most parameters have a suffix separated by a \"/\"\r\n  # Some parameters are in CamelCase and start with \"Use\"\r\n  dt_param_names[, prefix := tstrsplit(Parameter, split = \"/\", keep = 1)]\r\n  dt_param_names[prefix %>% startsWith(\"Use\"), prefix := \"Use\"]\r\n  \r\n  # Special treatment for these \"groups\"\r\n  dt_param_names[Parameter %like% \"^Benefits/JSS\", prefix := \"JSS\"]\r\n  dt_param_names[Parameter %like% \"^Benefits.*SPS\", prefix := \"SPS\"]\r\n  dt_param_names[Parameter %like% \"^Benefits/WinterEnergy\", prefix := \"WinterEnergy\"]\r\n  dt_param_names[Parameter %like% \"^FamilyAssistance/Abatement\", prefix := \"WFF_Abatement\"]\r\n  dt_param_names[Parameter %like% \"^FamilyAssistance/FTC\", prefix := \"FTC\"]\r\n  dt_param_names[Parameter %like% \"^FamilyAssistance/MFTC\", prefix := \"MFTC\"]\r\n  dt_param_names[Parameter %like% \"^FamilyAssistance/BestStart\", prefix := \"BestStart\"]\r\n  \r\n  # Some extra parameters have underscores - treat these as their own group\r\n  dt_param_names[Parameter %like% \"_\", prefix := \"Other\"]\r\n\r\n  # Give a bottom border to rows when they are the last in the group\r\n  dt_param_names[, use_top_border := prefix != shift(prefix, type = \"lead\")]\r\n\r\n  # Add firstRow to skip the empty row and the header row\r\n  rows_with_bottom_border <- firstRow + dt_param_names[use_top_border == TRUE, row]\r\n\r\n  # Also give bottom border to header and last row\r\n  rows_with_bottom_border <- unique(\r\n    c(firstRow, rows_with_bottom_border, firstRow + nrow(params) + 1)\r\n  )\r\n\r\n  # Cells to highlight in blue\r\n  prefixes_in_blue <- dt_param_names$prefix %>% unique() %>% .[seq(2, length(.), 2)] %>% paste0(collapse = \"|\")\r\n  rows_in_blue <- c(firstRow, firstRow + dt_param_names[prefix %like% prefixes_in_blue, row])\r\n  \r\n  # Create workbook and sheet\r\n  wb <- openxlsx::createWorkbook()\r\n  sheet <- openxlsx::addWorksheet(wb, \"Parameters\")\r\n  \r\n  # Set zoom\r\n  wb$worksheets[[1]]$sheetViews <- stringr::str_replace(wb$worksheets[[1]]$sheetViews, '(?<=zoomScale=\")[0-9]+', \"85\")\r\n  \r\n  openxlsx::writeData(\r\n    wb, sheet, x = params_dt,\r\n    startRow = firstRow, startCol = firstCol, colNames = TRUE\r\n  )\r\n  \r\n  # Convert everything to numeric\r\n  params_numeric <- params_dt[\r\n    , lapply(.SD, function(.) suppressWarnings(as.numeric(.))), .SDcols = !c(\"Parameter\", \"Description\")\r\n  ]\r\n  openxlsx::writeData(\r\n    wb, sheet, x = params_numeric,\r\n    startRow = firstRow, startCol = firstCol + 1, colNames = TRUE\r\n  )\r\n  # Check the first column of numeric data to find the NA's\r\n  na_rows <- which(is.na(params_numeric[, .SD, .SDcols = 1]))\r\n  for (na_row in na_rows) {\r\n    openxlsx::writeData(\r\n      wb, sheet,\r\n      x = params_dt[na_row, .SD, .SDcols = !c(\"Parameter\", \"Description\")],\r\n      startRow = firstRow + na_row, startCol = firstCol + 1, colNames = FALSE\r\n    )\r\n  }\r\n\r\n  # Column settings\r\n  out_cols <- firstCol - 1 + seq(1, ncol(params_dt))\r\n  col_widths <- c(50, 50, 180)\r\n\r\n  # Style Parameters sheet\r\n  openxlsx::setColWidths(wb, \"Parameters\", cols = 1, widths = 8)\r\n  openxlsx::setColWidths(wb, \"Parameters\", cols = out_cols, widths = col_widths)\r\n\r\n  openxlsx::addStyle(\r\n    wb, \"Parameters\", STYLE_HEADER_FONT,\r\n    rows = firstRow, cols = out_cols,\r\n    gridExpand = TRUE, stack = TRUE\r\n  )\r\n  openxlsx::addStyle(\r\n    wb, \"Parameters\", STYLE_NORMAL,\r\n    rows = firstRow - 1 + 1:(nrow(params_dt) + 1), cols = out_cols,\r\n    gridExpand = TRUE, stack = TRUE\r\n  )\r\n  openxlsx::addStyle(\r\n    wb, \"Parameters\", STYLE_BORDER_BOTTOM,\r\n    rows = rows_with_bottom_border, cols = out_cols,\r\n    gridExpand = TRUE, stack = TRUE\r\n  )\r\n  openxlsx::addStyle(\r\n    wb, \"Parameters\", STYLE_HIGHLIGHTED_BLUE,\r\n    rows = rows_in_blue, cols = out_cols,\r\n    gridExpand = TRUE, stack = TRUE\r\n  )\r\n\r\n  openxlsx::saveWorkbook(wb, output_path, overwrite = TRUE)\r\n}\r\n","type":"text"},{"name":"R/split_TAWA_parameters.R","content":"################################################################################\r\n# Generates TAWA parameter files from given parameters, inflators, and mapping files.\r\n# All HES years and tax years share the same inflator and mapping file,\r\n# with parameters being specific to each tax year,\r\n# and the baseyear parameter set equal to the HES year.\r\n# The parameters for all tax years are taken to be columns in the parameters file.\r\n################################################################################\r\n\r\nsplit_TAWA_parameters <- function(params_path, output_suffix, output_dir) {\r\n  all_params <- openxlsx::read.xlsx(params_path) %>% setDT()\r\n  \r\n  # Don't hard-code these parameters\r\n  all_params <- all_params[!(Parameter %in% c(\"Database_File\", \"baseyear\", \"Out_File\"))]\r\n  \r\n  # Extract tax years from the parameters file\r\n  tax_years <- all_params[Parameter == \"modelyear\", .SD, .SDcols = !\"Parameter\"] %>%\r\n    unlist() %>% as.numeric()\r\n  tax_years <- tax_years - 2000\r\n  \r\n  STYLE_FONT <- openxlsx::createStyle(fontName = \"Segoe UI\", fontSize = 10)\r\n  STYLE_BOLD <- openxlsx::createStyle(textDecoration = \"bold\")\r\n  STYLE_BORDER_BOTTOM <- openxlsx::createStyle(border = \"bottom\")\r\n  STYLE_HIGHLIGHTED <- openxlsx::createStyle(fgFill = \"#FFFF00\")\r\n  \r\n  rows_with_bottom_border <- c(2, 5, 7, 28, 30, 50, 69, 72, 78, 79, 88, 96, 97)\r\n  \r\n  for(tax_year in tax_years) {\r\n    logging::loginfo(\"TY%d\", tax_year)\r\n    \r\n    this_TY_col <- names(all_params) %>% .[. %like% paste0(\"TY\", tax_year)]\r\n    params <- all_params[, .SD, .SDcols = c(\"Parameter\", this_TY_col)]\r\n    this_params_col <- paste0(\"SQ_TY\", tax_year, output_suffix)\r\n    setnames(params, this_TY_col, this_params_col)\r\n    \r\n    # Cast character data to numeric,\r\n    # and shuffle the column names around while saving the character data\r\n    # to fill in the numeric NAs manually later\r\n    params[, numeric_data := lapply(.SD, function(.) {\r\n      suppressWarnings(as.numeric(.))\r\n    }), .SDcols = this_params_col]\r\n    \r\n    setnames(params, c(this_params_col, \"numeric_data\"), c(\"character_data\", this_params_col))\r\n    setcolorder(params, c(\"Parameter\", this_params_col, \"character_data\"))\r\n    \r\n    # Create xlsx file with required sheets\r\n    wb <- openxlsx::createWorkbook()\r\n    openxlsx::addWorksheet(wb, \"Parameters\")\r\n    \r\n    # Parameter Data\r\n    openxlsx::writeData(\r\n      wb, \"Parameters\",\r\n      x = params[, .SD, .SDcols = c(\"Parameter\", this_params_col)],\r\n      startRow = 2, startCol = 2, colNames = TRUE\r\n    )\r\n    \r\n    # Replace individual cells having NA numerical data with character data\r\n    na_rows <- which(is.na(params[, .SD, .SDcols = this_params_col]))\r\n    for (na_row in na_rows) {\r\n      openxlsx::writeData(\r\n        wb, \"Parameters\",\r\n        x = params[na_row, character_data],\r\n        startRow = 2 + na_row, startCol = 3\r\n      )\r\n    }\r\n    \r\n    # Style Parameters sheet\r\n    openxlsx::showGridLines(wb, \"Parameters\", showGridLines = FALSE)\r\n    openxlsx::setRowHeights(wb, \"Parameters\", rows = 1 + 1:nrow(params), heights = 16)\r\n    openxlsx::setColWidths(wb, \"Parameters\", cols = 2:3, widths = c(60.55, 22.55))\r\n    \r\n    openxlsx::addStyle(\r\n      wb, \"Parameters\", STYLE_BOLD,\r\n      rows = 2:5, cols = 2:3, gridExpand = TRUE, stack = TRUE\r\n    )\r\n    openxlsx::addStyle(\r\n      wb, \"Parameters\", STYLE_FONT,\r\n      rows = 1 + 1:nrow(params), cols = 2:3, gridExpand = TRUE, stack = TRUE\r\n    )\r\n    openxlsx::addStyle(\r\n      wb, \"Parameters\", STYLE_BORDER_BOTTOM,\r\n      rows = rows_with_bottom_border, cols = 2:3, gridExpand = TRUE, stack = TRUE\r\n    )\r\n    openxlsx::addStyle(\r\n      wb, \"Parameters\", STYLE_HIGHLIGHTED,\r\n      rows = 89:97, cols = 2:3, gridExpand = TRUE, stack = TRUE\r\n    )\r\n    \r\n    this_filename <- file.path(\r\n      output_dir, sprintf(\"TY%d%s.xlsx\", tax_year, output_suffix)\r\n    )\r\n    openxlsx::saveWorkbook(wb, this_filename, overwrite = TRUE)\r\n  }\r\n}","type":"text"},{"name":"R/util.R","content":"# Helper functions for EMTR function\r\n\r\n#' @title Abatement\r\n#' @author Christopher Ball, \\email{Christopher.Ball@@treasury.govt.nz}\r\n#'\r\n#' @description Works out the abatement on a given amount under a given abatement regime\r\n#' against a certain income.  Can be applied only to certain sample elements using\r\n#' the Cond argument, and is fully vectorised by design.\r\n#'\r\n#' @param Cond Boolean vector of which elements are abated.  Can use\r\n#' \\code{T} to apply to all elements.\r\n#' @param Amount The amount which is abated.\r\n#' @param Scale An abatement scale (set of rates and thresholds) which is applied to\r\n#' the amount.\r\n#' @param Income An income measure used for determining abatement\r\n#' @return Vector of abated incomes.  Assumes that abated amount is non-negative.\r\n#' @family Utilities\r\n#' @export\r\nAbate <- function(Cond, Amount, Scale, Income){\r\n  Scale_Items <- length(Scale[[1]])\r\n  for (Item in 2:Scale_Items){\r\n    Amount <- Amount - Cond * pmax(0, pmin(Scale[['thresholds']][Item], Income) - Scale[['thresholds']][Item - 1]) * Scale[['rates']][Item - 1]\r\n  }\r\n  Amount <- Amount - Cond * pmax(0, Income - Scale[['thresholds']][Scale_Items]) * Scale[['rates']][Scale_Items]\r\n  return(pmax(0, Amount))\r\n}\r\nattr(Abate, \"utility\") <- T\r\n\r\n#' @title Abatement Vanishing Point\r\n#' @author Christopher Ball, \\email{Christopher.Ball@@treasury.govt.nz}\r\n#'\r\n#' @description Works out the minimum income amount under a given scale at which\r\n#' the abated amount is $0.  Assumes that such a point exists.  Not vectorised,\r\n#' but it doesn't in general need to be as a vector can be made through recycling.\r\n#'\r\n#' @inheritParams Abate\r\n#' @return Abatement vanishing point.\r\n#' @family Utilities\r\n#' @export\r\nAbatement_Vanishing_Point <- function(Scale, Amount){\r\n  # Not vectorised - but it doesn't need to be!\r\n  n <- length(Scale[[1]])\r\n  for (Th in 1:(n-1)){\r\n    if (Scale[['rates']][Th] == 0) next\r\n    if (Scale[['thresholds']][Th] + Amount/Scale[['rates']][Th] > Scale[['thresholds']][Th + 1]){\r\n      Amount = Amount - Scale[['rates']][Th]*(Scale[['thresholds']][Th + 1] - Scale[['thresholds']][Th])\r\n    } else {\r\n      return(Scale[['thresholds']][Th] + Amount/Scale[['rates']][Th])\r\n    }\r\n  }\r\n  return(Scale[['thresholds']][n] + Amount/Scale[['rates']][n])\r\n}\r\nattr(Abatement_Vanishing_Point, \"utility\") <- T\r\n\r\n#' @title Applies a given tax system to an income amount.\r\n#' @author Christopher Ball, \\email{Christopher.Ball@@treasury.govt.nz}\r\n#'\r\n#' @description This function calculates the tax amount due given the pre-tax\r\n#' amount and the relevant tax scale.  Vectorised for efficiency.\r\n#'\r\n#' @inheritParams Gross_From_Net\r\n#' @return Vector of tax amounts.\r\n#' @family Utilities\r\n#' @export\r\nApply <- function(Amount, Tax_Scale){\r\n  Tax <- 0\r\n  n <- length(Tax_Scale[[1]])\r\n  for (Th in 1:(n-1)){\r\n    Tax <- Tax + (pmin(pmax(Amount, Tax_Scale[['thresholds']][Th]), Tax_Scale[['thresholds']][Th + 1]) - Tax_Scale[['thresholds']][Th])*Tax_Scale[['rates']][Th]\r\n  }\r\n  return(Tax + pmax(0, Amount - Tax_Scale[['thresholds']][n])*Tax_Scale[['rates']][n])\r\n}\r\nattr(Apply, \"utility\") <- T\r\n\r\nNet_Thresholds <- function(Tax_BaseScale) {\r\n  NIT <- c(0)\r\n  for (band in 2:length(Tax_BaseScale$thresholds)){\r\n    NIT <- c(NIT, tail(NIT, 1) + (Tax_BaseScale$thresholds[band] - Tax_BaseScale$thresholds[band-1]) * (1 - Tax_BaseScale$rates[[band-1]]))\r\n  }\r\n  return(NIT)\r\n}\r\n\r\nGross_From_Net <- function(Amount, Net_Thresholds, Tax_Scale){\r\n  Levels <- length(Net_Thresholds)\r\n  Old <- 0\r\n  Gross <- 0*Amount\r\n  for (Th in 2:Levels){\r\n    Gross <- Gross + (Amount < Net_Thresholds[Th] & Amount >= Net_Thresholds[Th - 1])*\r\n      (Tax_Scale$thresholds[Th-1] + (Amount - Old) / (1 - Tax_Scale$rates[Th - 1]))\r\n    Old <- Net_Thresholds[Th]\r\n  }\r\n  return(Gross + (Amount > Net_Thresholds[Levels]) * \r\n           (Tax_Scale$thresholds[Levels] + (Amount - Old) / (1 - Tax_Scale$rates[Levels])))\r\n}\r\nattr(Gross_From_Net, \"utility\") <- T\r\n\r\n\r\n#' @title Calculates the net income given gross income and a tax scale.\r\n#' @author Christopher Ball, \\email{Christopher.Ball@@treasury.govt.nz}\r\n#'\r\n#' @description This function calculates the net of tax income given the pre-tax\r\n#' amount and the relevant tax scale.  Vectorised for efficiency.\r\n#'\r\n#' @inheritParams Gross_From_Net\r\n#' @return Vector of net of tax income amounts.\r\n#' @seealso Apply\r\n#' @family Utilities\r\n#' @export\r\nNet_From_Gross <- function(Amount, Tax_Scale){\r\n  return(Amount - Apply(Amount, Tax_Scale))\r\n}\r\nattr(Net_From_Gross, \"utility\") <- T\r\n\r\n\r\n\r\n\r\n","type":"text"},{"name":"README.md","content":"# Income Explorer\r\nThis package contains the software for running the Income Explorer Application,\r\nwhich enables the graphically interactive calculation and display of income components and \r\neffective marginal tax rate for user specified household parameters, with fixed\r\ntax/welfare settings.\r\n\r\nThe underlying calculation is done by the function `emtr` in the file emtr.R,\r\nwhich may be useful outside of the GUI.\r\n","type":"text"},{"name":"docker/Dockerfile","content":"FROM rocker/shiny-verse:4.0\r\nLABEL maintainer=\"iMSD_CBI_Help@msd.govt.nz\"\r\n\r\nEXPOSE 3838\r\n# In case you are behind a firewall\r\nARG https_proxy\r\nARG http_proxy\r\n\r\nRUN apt-get update && apt-get upgrade -y \\\r\n    && rm -rf /var/lib/apt/lists/*\r\n\r\n# The shiny-server.conf file sets up Shiny Server to serve a single app\r\nCOPY ./docker/shiny-server.conf /etc/shiny-server/\r\n\r\n# The shell file doesn't live with the app code \r\nCOPY ./docker/shiny-server.sh /usr/bin/\r\n# RUN chmod o+x /usr/bin/shiny-server.sh\r\n\r\n# Create the folder to serve the single app with shiny server\r\nRUN rm -rf /srv/shiny-server \\\r\n    && mkdir -p /srv/shiny-server/incomeexplorer \\\r\n    && chown shiny:shiny /srv/shiny-server/incomeexplorer \\\r\n                         /usr/bin/shiny-server.sh \\\r\n    && chmod u+x /usr/bin/shiny-server.sh\r\n\r\nWORKDIR /srv/shiny-server/incomeexplorer\r\n\r\n# Install the dependencies first since they likely change less often\r\nCOPY ./DESCRIPTION .\r\nRUN R -e 'devtools::install()' \r\n\r\n# Get the code last since this is likely to change the most often\r\nCOPY . .\r\n\r\nCMD [\"/usr/bin/shiny-server.sh\"]\r\n","type":"text"},{"name":"docker/docker-compose.yml","content":"version: '3.5'\r\n\r\nservices:\r\n\r\n  shiny:\r\n    image: tsy/income-explorer-app\r\n\r\n    build:\r\n      # No docker files in app folder, but point context there to see app files\r\n      context: ..\r\n      dockerfile: docker/Dockerfile\r\n      args:\r\n        # Get host values for proxies if you need them for a firewall\r\n        - http_proxy=${http_proxy}\r\n        - https_proxy=${https_proxy}\r\n \r\n    # environment:\r\n        # Nothing passed to container (but PORT read from .env) \r\n\r\n    ports:\r\n      # Use 3838 as default, or overwrite using a .env file, or in shell\r\n      # with 'export APP_PORT=1234' (or APP_PORT=1234 docker-compose up)\r\n        - \"${APP_PORT:-3838}:3838\"\r\n    \r\n    container_name: ${USER}_tsy-income-explorer-app_${APP_PORT:-3838}\r\n\r\n    networks: \r\n      - tsy-income-explorer-app\r\n\r\n    restart: unless-stopped\r\n\r\nnetworks:\r\n  tsy-income-explorer-app:\r\n    # driver: bridge      \r\n\r\n\r\n# # Optionally use the syslog facility to keep logs centrally \r\n#    logging:\r\n#    driver: syslog\r\n#    options:\r\n#        syslog-facility: \"local0\"\r\n","type":"text"},{"name":"docker/shiny-server.conf","content":"# Instruct Shiny Server to run applications as the user \"shiny\"\r\nrun_as shiny;\r\nhttp_allow_compression true;\r\nhttp_keepalive_timeout 100;\r\naccess_log /dev/stdout combined;\r\n\r\n# Define a server that listens on port 3838\r\nserver {\r\n  listen 3838;\r\n\r\n  # Define a location at the base URL\r\n  location / {\r\n\r\n    # Host the directory of Shiny Apps stored in this directory\r\n    # site_dir /srv/shiny-server;\r\n\r\n    # Host the particular Shiny App stored in this directory\r\n    app_dir /srv/shiny-server/incomeexplorer;\r\n\r\n    # Log all Shiny output to files in this directory\r\n    log_dir /var/log/shiny-server;\r\n\r\n    # When a user visits the base URL rather than a particular application,\r\n    # an index of the applications available in this directory will be shown.\r\n    directory_index off;\r\n    log_as_user on;\r\n    app_init_timeout 1800;\r\n    app_idle_timeout 1800;\r\n  }\r\n}\r\n","type":"text"},{"name":"docker/shiny-server.sh","content":"#!/bin/sh\r\n\r\n# Make sure the directory for individual app logs exists\r\nmkdir -p /var/log/shiny-server\r\nchown shiny.shiny /var/log/shiny-server\r\nchown -R shiny.shiny /srv/shiny-server\r\n\r\nexport SHINY_LOG_LEVEL=DEBUG\r\nexport SHINY_LOG_STDERR=1\r\n\r\n# Output environment variables to .Renviron file for shiny server to read.\r\nenv > /home/shiny/.Renviron\r\nchown shiny.shiny /home/shiny/.Renviron\r\n\r\nexec shiny-server 2>&1\r\n","type":"text"},{"name":"incomeexplorer.Rproj","content":"Version: 1.0\r\n\r\nRestoreWorkspace: Default\r\nSaveWorkspace: Default\r\nAlwaysSaveHistory: Default\r\n\r\nEnableCodeIndexing: Yes\r\nUseSpacesForTab: 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<- IncomeExplorer::estimate_MFTC_from_files(\r\n  parameter_files = list.files(\"App_Parameters/\", full.names = TRUE),\r\n  min_wages = DEFAULT_MIN_WAGES\r\n)\r\n\r\nfwrite(est_MFTC, \"MFTC_rates.csv\")\r\n","type":"text"},{"name":"inst/MFTC_calculator/Parameters_HYEFU23.xlsx","content":"UEsDBBQACAgIAPBpi1cAAAAAAAAAAAAAAAATAAAAW0NvbnRlbnRfVHlwZXNdLnhtbK2Uy27C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\nXmNNU8qo7n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this is to be used and run with each new EFU\r\n\r\n# Split up a TAWA parameters file into several TAWA parameter files,\r\n# one for each Tax Year\r\n\r\n# before running: set working directory to MFTC_calculator and create a folder\r\n# named TAWA_Parameters\r\n\r\nIncomeExplorer::split_TAWA_parameters(\r\n  params_path = \"\",\r\n  output_suffix = \"\",\r\n  output_dir = \"TAWA_Parameters\"\r\n)\r\n\r\n# Convert each TAWA parameter file to IncomeExplorer App format\r\nIncomeExplorer::TAWA_to_app_param_files(\r\n  input_param_paths = list.files(\"TAWA_Parameters/\", full.names = TRUE),\r\n  output_param_dir = \"App_Parameters/\",\r\n  output_prefix = \"IncomeExplorer_\",\r\n  output_template_path = \"App_Parameters_Template.xlsx\"\r\n)\r\n","type":"text"},{"name":"inst/MFTC_calculator/generate_yaml_parameters.R","content":"library(data.table)\r\nlibrary(magrittr)\r\nlibrary(glue)\r\n\r\nefu <- \"BEFU24\"\r\nparam_dir <- glue(\"inst/tawa_parameters\")\r\nparam_paths <- list.files(param_dir, pattern = glob2rx(\"*.yaml\"), full.names = TRUE)\r\nfor (param_path in param_paths) {\r\n  params <- IncomeExplorer::parameters_from_file(param_path)\r\n  yaml_param_filename <- basename(param_path) %>%\r\n    tools::file_path_sans_ext() %>%\r\n    stringr::str_remove(paste0(\"_\", efu)) %>%\r\n    {paste0(., \"_\", efu, \".yaml\")}\r\n  yaml::write_yaml(params, file.path(\"inst/parameters\", yaml_param_filename))\r\n}\r\n","type":"text"},{"name":"inst/parameters/TY14.yaml","content":"modelyear: 2014.0\r\nACC_LevyRate: 0.017\r\nACC_MaxLeviableIncome: 116089.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 225.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 165.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 120.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 75.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 160.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 125.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 75.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 55.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 145.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 100.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 65.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 45.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 171.84\r\nBenefits_JSS_Rate_CoupleParent: 0.0\r\nBenefits_JSS_Rate_Single: 206.21\r\nBenefits_JSS_Rate_SoleParent: 295.37\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 5220.0\r\n  - 10440.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 295.37\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 0.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 0.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 36350.0\r\n  rates:\r\n  - 0.0\r\n  - 0.2125\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 4822.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 3351.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3120.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 0.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 0.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 0.0\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 22724.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 0.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 0.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY15.yaml","content":"modelyear: 2015.0\r\nACC_LevyRate: 0.0145\r\nACC_MaxLeviableIncome: 118191.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 225.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 165.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 120.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 75.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 160.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 125.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 75.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 55.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 145.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 100.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 65.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 45.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 174.21\r\nBenefits_JSS_Rate_CoupleParent: 0.0\r\nBenefits_JSS_Rate_Single: 209.06\r\nBenefits_JSS_Rate_SoleParent: 299.45\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 5220.0\r\n  - 10440.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 299.45\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 0.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 0.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 36350.0\r\n  rates:\r\n  - 0.0\r\n  - 0.2125\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 4822.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 3351.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3120.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 0.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 0.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 0.0\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 22776.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 0.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 0.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY16.yaml","content":"modelyear: 2016.0\r\nACC_LevyRate: 0.0145\r\nACC_MaxLeviableIncome: 120070.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 225.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 165.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 120.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 75.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 160.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 125.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 75.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 55.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 145.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 100.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 65.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 45.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 175.1\r\nBenefits_JSS_Rate_CoupleParent: 0.0\r\nBenefits_JSS_Rate_Single: 210.13\r\nBenefits_JSS_Rate_SoleParent: 300.98\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 5220.0\r\n  - 10440.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 300.98\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 0.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 0.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 36350.0\r\n  rates:\r\n  - 0.0\r\n  - 0.2125\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 4822.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 3351.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3120.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 0.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 0.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 0.0\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 23036.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 0.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 0.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY17.yaml","content":"modelyear: 2017.0\r\nACC_LevyRate: 0.0139\r\nACC_MaxLeviableIncome: 122063.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 225.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 165.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 120.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 75.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 160.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 125.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 75.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 55.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 145.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 100.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 65.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 45.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 175.1\r\nBenefits_JSS_Rate_CoupleParent: 187.6\r\nBenefits_JSS_Rate_Single: 210.13\r\nBenefits_JSS_Rate_SoleParent: 325.98\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 5220.0\r\n  - 10440.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 325.98\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 0.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 0.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 36350.0\r\n  rates:\r\n  - 0.0\r\n  - 0.225\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 4822.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 3351.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3770.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 0.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 0.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 0.0\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 23764.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 0.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 0.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY18.yaml","content":"modelyear: 2018.0\r\nACC_LevyRate: 0.0139\r\nACC_MaxLeviableIncome: 124053.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 225.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 165.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 120.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 75.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 160.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 125.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 75.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 55.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 145.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 100.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 65.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 45.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 177.03\r\nBenefits_JSS_Rate_CoupleParent: 189.67\r\nBenefits_JSS_Rate_Single: 212.45\r\nBenefits_JSS_Rate_SoleParent: 329.57\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 5220.0\r\n  - 10440.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 329.57\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 0.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 0.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 36350.0\r\n  rates:\r\n  - 0.0\r\n  - 0.225\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 4822.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 3351.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3770.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 0.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 0.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 0.0\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 23816.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 0.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 0.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY19.yaml","content":"modelyear: 2019.0\r\nACC_LevyRate: 0.0139\r\nACC_MaxLeviableIncome: 126286.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 305.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 220.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 160.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 120.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 235.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 155.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 105.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 165.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 105.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 70.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 179.44\r\nBenefits_JSS_Rate_CoupleParent: 192.25\r\nBenefits_JSS_Rate_Single: 215.34\r\nBenefits_JSS_Rate_SoleParent: 334.05\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 5220.0\r\n  - 10440.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 334.05\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 450.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 700.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 42700.0\r\n  rates:\r\n  - 0.0\r\n  - 0.25\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 5878.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 4745.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3770.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 0.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 0.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 0.0\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 26156.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 3120.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 3120.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY20.yaml","content":"modelyear: 2020.0\r\nACC_LevyRate: 0.0139\r\nACC_MaxLeviableIncome: 128470.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 305.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 220.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 160.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 120.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 235.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 155.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 105.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 165.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 105.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 70.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4176.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 182.47\r\nBenefits_JSS_Rate_CoupleParent: 195.5\r\nBenefits_JSS_Rate_Single: 218.98\r\nBenefits_JSS_Rate_SoleParent: 339.69\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 5220.0\r\n  - 10440.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 339.69\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 450.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 700.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 42700.0\r\n  rates:\r\n  - 0.0\r\n  - 0.25\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 5878.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 4745.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3770.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 0.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 0.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 0.0\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 26572.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 3120.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 3120.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY21.yaml","content":"modelyear: 2021.0\r\nACC_LevyRate: 0.0139\r\nACC_MaxLeviableIncome: 130911.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 305.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 220.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 160.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 120.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 235.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 155.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 105.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 165.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 105.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 70.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4698.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 4698.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 200.6\r\nBenefits_JSS_Rate_CoupleParent: 214.03\r\nBenefits_JSS_Rate_Single: 250.74\r\nBenefits_JSS_Rate_SoleParent: 375.17\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 6003.0\r\n  - 11223.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 375.17\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 900.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 1400.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 42700.0\r\n  rates:\r\n  - 0.0\r\n  - 0.25\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 5878.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 4745.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3770.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 1.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 986.58\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 986.58\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 29432.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 3120.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 3120.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY22.yaml","content":"modelyear: 2022.0\r\nACC_LevyRate: 0.0139\r\nACC_MaxLeviableIncome: 130911.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 305.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 220.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 160.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 120.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 235.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 155.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 105.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 165.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 105.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 70.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 226.81\r\nBenefits_JSS_Rate_CoupleParent: 240.65\r\nBenefits_JSS_Rate_Single: 278.5\r\nBenefits_JSS_Rate_SoleParent: 406.78\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  - 13050.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 406.78\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 450.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 700.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 42700.0\r\n  rates:\r\n  - 0.0\r\n  - 0.25\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 5878.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 4745.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3770.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 1.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 1044.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 1044.0\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 31096.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 3120.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 3120.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  - 180000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\n  - 0.39\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY23.yaml","content":"modelyear: 2023.0\r\nACC_LevyRate: 0.0146\r\nACC_MaxLeviableIncome: 136544.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 305.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 220.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 160.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 120.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 235.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 155.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 105.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 165.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 105.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 70.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 268.0\r\nBenefits_JSS_Rate_CoupleParent: 283.0\r\nBenefits_JSS_Rate_Single: 315.0\r\nBenefits_JSS_Rate_SoleParent: 440.96\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  - 13050.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 440.96\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 450.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 700.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 42700.0\r\n  rates:\r\n  - 0.0\r\n  - 0.27\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 6642.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 5412.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3770.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 1.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 1106.64\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 1106.64\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 32864.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 3388.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 3388.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  - 180000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\n  - 0.39\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY24.yaml","content":"modelyear: 2024.0\r\nACC_LevyRate: 0.0153\r\nACC_MaxLeviableIncome: 139384.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 305.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 220.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 160.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 120.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 235.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 155.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 105.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 165.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 105.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 70.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 287.35\r\nBenefits_JSS_Rate_CoupleParent: 303.43\r\nBenefits_JSS_Rate_Single: 337.74\r\nBenefits_JSS_Rate_SoleParent: 472.79\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  - 13050.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 472.79\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 450.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 700.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 42700.0\r\n  rates:\r\n  - 0.0\r\n  - 0.27\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 7121.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 5802.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 3770.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 1.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 1184.94\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 1184.94\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 34216.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 3632.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 3632.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 44000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 14000.0\r\n  - 48000.0\r\n  - 70000.0\r\n  - 180000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\n  - 0.39\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY25_BEFU24.yaml","content":"modelyear: 2025.0\r\nACC_LevyRate: 0.016\r\nACC_MaxLeviableIncome: 142283.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 305.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 220.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 160.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 120.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 235.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 155.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 105.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 165.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 105.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 70.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 300.73\r\nBenefits_JSS_Rate_CoupleParent: 317.55\r\nBenefits_JSS_Rate_Single: 353.46\r\nBenefits_JSS_Rate_SoleParent: 494.8\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  - 13050.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 494.8\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 450.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 700.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 42700.0\r\n  rates:\r\n  - 0.0\r\n  - 0.27\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 7524.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 6130.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 5070.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 1.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 1208.43\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 1208.43\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 35316.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 3838.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 3838.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 66000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 15600.0\r\n  - 53500.0\r\n  - 78100.0\r\n  - 180000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\n  - 0.39\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY26_BEFU24.yaml","content":"modelyear: 2026.0\r\nACC_LevyRate: 0.016\r\nACC_MaxLeviableIncome: 145242.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 305.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 220.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 160.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 120.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 235.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 155.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 105.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 165.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 105.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 70.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 308.3\r\nBenefits_JSS_Rate_CoupleParent: 325.55\r\nBenefits_JSS_Rate_Single: 362.36\r\nBenefits_JSS_Rate_SoleParent: 507.26\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  - 13050.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 507.26\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 450.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 700.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 42700.0\r\n  rates:\r\n  - 0.0\r\n  - 0.27\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 7524.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 6130.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 5070.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 1.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 1208.43\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 1208.43\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 35316.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 3838.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 3838.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 66000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 15600.0\r\n  - 53500.0\r\n  - 78100.0\r\n  - 180000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\n  - 0.39\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY27_BEFU24.yaml","content":"modelyear: 2027.0\r\nACC_LevyRate: 0.016\r\nACC_MaxLeviableIncome: 148263.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 305.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 220.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 160.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 120.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 235.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 155.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 105.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 165.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 105.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 70.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 314.77\r\nBenefits_JSS_Rate_CoupleParent: 332.39\r\nBenefits_JSS_Rate_Single: 369.97\r\nBenefits_JSS_Rate_SoleParent: 517.91\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  - 13050.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 517.91\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 450.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 700.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 42700.0\r\n  rates:\r\n  - 0.0\r\n  - 0.27\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 7524.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 6130.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 5070.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 1.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 1208.43\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 1208.43\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 35316.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 3838.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 3838.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 66000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 15600.0\r\n  - 53500.0\r\n  - 78100.0\r\n  - 180000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\n  - 0.39\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"inst/parameters/TY28_BEFU24.yaml","content":"modelyear: 2028.0\r\nACC_LevyRate: 0.016\r\nACC_MaxLeviableIncome: 151347.0\r\nAccommodation_AbatementRate: 0.25\r\nAccommodation_BaseRateThreshold_Mortgage: 0.3\r\nAccommodation_BaseRateThreshold_Rent: 0.25\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area1: 305.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area2: 220.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area3: 160.0\r\nAccommodation_MaxRate_CoupleDeps_Single2_Deps_Area4: 120.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area1: 235.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area2: 155.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area3: 105.0\r\nAccommodation_MaxRate_CoupleNoDeps_Single1Dep_Area4: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area1: 165.0\r\nAccommodation_MaxRate_SingleNoDeps_Area2: 105.0\r\nAccommodation_MaxRate_SingleNoDeps_Area3: 80.0\r\nAccommodation_MaxRate_SingleNoDeps_Area4: 70.0\r\nAccommodation_PaymentPercentage: 0.7\r\nBenefits_JSS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.7\r\nBenefits_JSS_CoupleAbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  rates:\r\n  - 0.0\r\n  - 0.35\r\nBenefits_JSS_Rate_Couple: 321.12\r\nBenefits_JSS_Rate_CoupleParent: 339.1\r\nBenefits_JSS_Rate_Single: 377.44\r\nBenefits_JSS_Rate_SoleParent: 528.36\r\nBenefits_SPS_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 8352.0\r\n  - 13050.0\r\n  rates:\r\n  - 0.0\r\n  - 0.3\r\n  - 0.7\r\nBenefits_SPS_Rate: 528.36\r\nBenefits_Entitlement_Age_SPS_ChildLowerBound: 14.0\r\nBenefits_WinterEnergy_Rates_Single: 450.0\r\nBenefits_WinterEnergy_Rates_CoupleOrDeps: 700.0\r\nFamilyAssistance_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 42700.0\r\n  rates:\r\n  - 0.0\r\n  - 0.27\r\nFamilyAssistance_Abatement_Order: 0.0\r\nFamilyAssistance_FTC_Rates_FirstChild: 8056.0\r\nFamilyAssistance_FTC_Rates_SubsequentChild: 6563.0\r\nFamilyAssistance_IWTC_Rates_UpTo3Children: 5070.0\r\nFamilyAssistance_IWTC_Rates_SubsequentChildren: 780.0\r\nFamilyAssistance_IWTC_Eligibility: 1.0\r\nFamilyAssistance_FullTimeWorkingHours_Couple: 30.0\r\nFamilyAssistance_FullTimeWorkingHours_Single: 20.0\r\nFamilyAssistance_IWTC_IncomeThreshold_Single: 1208.43\r\nFamilyAssistance_IWTC_IncomeThreshold_Couple: 1208.43\r\nFamilyAssistance_IWTC_ToBeneficiaries: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Single:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_IWTC_PhaseIn_Couple:\r\n  thresholds: 0.0\r\n  rates: 0.0\r\nFamilyAssistance_MFTC_Rates_MinimumIncome: 35316.0\r\nFamilyAssistance_BestStart_Abatement_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 79000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.21\r\nFamilyAssistance_BestStart_Rates_Age0: 4109.0\r\nFamilyAssistance_BestStart_Rates_Age1or2: 4109.0\r\nIETC_AbatementScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 66000.0\r\n  rates:\r\n  - 0.0\r\n  - 0.13\r\nIETC_MinimalIncome: 24000.0\r\nIETC_PerYear: 520.0\r\nIETC_OnlyFamiliesWithoutChildren: 0.0\r\nTax_BaseScale:\r\n  thresholds:\r\n  - 0.0\r\n  - 15600.0\r\n  - 53500.0\r\n  - 78100.0\r\n  - 180000.0\r\n  rates:\r\n  - 0.105\r\n  - 0.175\r\n  - 0.3\r\n  - 0.33\r\n  - 0.39\r\nMFTC_WEP_scaling: 1.0\r\nWFF_or_Benefit: Max\r\n","type":"text"},{"name":"runApp.R","content":"\r\n# Install all the required package for the EMTR function and income explorer app\r\npkg <- c(\"shiny\", \"shinyvalidate\", \"rhandsontable\", \"RColorBrewer\", \"shinythemes\",\r\n         \"plotly\", \"openxlsx\", \"data.table\", \"ggplot2\", \r\n         \"scales\", \"magrittr\", \"zoo\")\r\n\r\nnew.pkg <- pkg[!(pkg %in% installed.packages())]\r\n\r\nif (length(new.pkg) > 0) {\r\n  install.packages(new.pkg)\r\n}\r\n\r\nif (packageVersion(\"shiny\") < \"1.5.0\") {\r\n  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38.304688 53.722656 38.535156 54.519531 38.875 53.550781 C 38.761719 54.0625 38.820312 54.632812 39.277344 54.007812 C 39.046875 54.460938 39.21875 54.859375 39.5625 54.347656 C 39.390625 54.6875 39.503906 55.144531 39.789062 54.632812 C 39.617188 54.972656 39.789062 55.257812 39.960938 54.859375 C 39.847656 55.144531 39.902344 55.3125 40.132812 55.085938 C 40.015625 55.257812 40.074219 55.539062 40.246094 55.257812 C 40.132812 55.597656 40.246094 55.539062 40.359375 55.425781 C 40.304688 55.652344 40.359375 55.652344 40.476562 55.597656 C 40.476562 55.769531 40.53125 55.824219 40.589844 55.769531 L 40.707031 55.882812 L 40.648438 55.710938 C 40.761719 55.652344 40.707031 55.597656 40.535156 55.597656 C 40.648438 55.539062 40.707031 55.484375 40.417969 55.484375 C 40.589844 55.425781 40.648438 55.257812 40.304688 55.3125 C 40.648438 55.199219 40.359375 55.085938 40.191406 55.144531 C 40.476562 55.027344 40.304688 54.859375 40.019531 54.914062 C 40.476562 54.800781 40.191406 54.574219 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