{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DECDI","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2026-11-10","version":"1"},"project_desc":{"authoring_entity":[{"name":"Ben Brunckhorst","affiliation":"World Bank Group","email":"bbrunckhorst@worldbank.org"},{"name":"Miki Khanh Doan","affiliation":"World Bank Group","email":"mkdoan@worldbankgroup.org"},{"name":"Erwin Knippenberg","affiliation":"World Bank Group","email":"eknippenberg@worldbank.org"},{"name":"Alejandro de la Fuente","affiliation":"World Bank Group","email":"adelafuente@worldbankgroup.org"},{"name":"Daniel Kryger","affiliation":"World Bank Group","email":"dkryger@worldbank.org"},{"name":"Mads Hoefer","affiliation":"World Bank Group, University of Oxford","email":"mads.hoefer@oriel.ox.ac.uk"}],"title_statement":{"title":"Reproducibility package for From Risk to Resilience: Insights on the Impacts of Climate and Climate Policies on Welfare","idno":"FR_WLD_2026_805"},"data_statement":"The reproducibility package relies on two types of data: open and limited-access data, but the package can be run completely as published using intermediate data. For the source, access type, file location, and citation of each dataset, refer to the Datasets section and the README file.","software":[{"name":"R","version":"4.6.2"}],"scripts":[{"title":"Reproducibility package for From Risk to Resilience: Insights on the Impacts of Climate and Climate Policies on Welfare","date":"2026-11","notes":"Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.","instructions":"See README in reproducibility package.","file_name":"FR_WLD_2026_805","zip_package":"FR_WLD_2026_805.zip","dependencies":"R dependencies are listed in the file renv.lock."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"production_date":"2026-11-10","abstract":"Climate change is intensifying extreme weather such as heatwaves, drought, and erratic rainfall, threatening to reverse hard-won welfare gains. This burden is not shared equally. For the poorest 40 percent, projected income losses from climate change are roughly 70 percent larger, relative to their income, than for the average population (Hallegatte & Rozenberg, 2017). However, climate risk extends well beyond the poorest. Middle-income households can be highly exposed due to their physical locations, jobs, and businesses. Changing weather conditions disrupt household welfare through many channels, from direct agricultural losses to broader impacts on health, labor productivity, cost of living, and even childhood development. When shocks force families to liquidate productive assets or sacrifice human capital, the damage compounds and can persist even after conditions improve. Quantifying these risks and how they vary at the household level is essential for designing targeted and effective adaptation policy. This report introduces WISE-APP (Weather Impact Simulation and Evaluation for Adaptation Policy and Planning), a flexible micro-simulation tool to quantify these risks, simulate household welfare under future climate and policy scenarios, and bring evidence to country dialogue. The report estimates how weather shocks change household welfare in 21 countries (60 survey waves), simulates welfare under future climate (CMIP6, SSP3-7.0) and evaluates four adaptation policies. ","geographic_units":[{"name":"World","code":"WLD"}],"keywords":[{"name":"Welfare"},{"name":"Poverty"},{"name":"Climate Change"},{"name":"Extreme Weather"},{"name":"Microsimulation"},{"name":"Household Surveys"}],"topics":[{"id":"Q54","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Climate \u2022 Natural Disasters and Their Management \u2022 Global Warming","parent_id":"Q5"},{"id":" I32","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Measurement and Analysis of Poverty","parent_id":"I3"},{"id":" O12","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Microeconomic Analyses of Economic Development","parent_id":"O1"},{"id":" D31","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Personal Income, Wealth, and Their Distributions","parent_id":"D3"},{"id":" C15","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Statistical Simulation Methods: General","parent_id":"C1"},{"id":" Q18","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Agricultural Policy \u2022 Food Policy \u2022 Animal Welfare Policy","parent_id":"Q1"}],"output":[{"type":"Flagship or other report","description":"Prosperity Publication","title":"From Risk to Resilience: Insights on the Impacts of Climate and Climate Policies on Welfare"}],"language":[{"name":"English","code":"EN"}],"technology_requirements":"Runtime: \n- From the aggregate tables included in the package: 2 minutes. \n- The optional full run from the restricted microdata: 3 hours 15 minutes.","disclaimer":"The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development\/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.","license":[{"name":"MIT License","uri":"https:\/\/opensource.org\/license\/mit"},{"name":"World Bank IGO Rider","uri":"https:\/\/github.com\/worldbank\/metadata-editor\/blob\/main\/WB-IGO-RIDER.md"}],"contacts":[{"name":"Ben Brunckhorst","affiliation":"World Bank Group","email":"bbrunckhorst@worldbank.org"},{"name":"Reproducibility World Bank Group","affiliation":"World Bank Group","email":"reproducibility@worldbank.org"}],"datasets":[{"name":"WISE-APP data for Risk to Resilience Report","note":"Global Monitoring Database (GMD), household surveys with geocodes: Filenames: microdata\/hh\/_GMD_hh.parquet (60 files, 21 countries, 60 survey waves), in the WISE-APP data folder. Harmonized household surveys with spatial identifiers from the World Bank Global Monitoring Database. \nH3 location lookup for the GMD household surveys.\nFilenames: microdata\/h3\/_GMD_h3.parquet (60 files).\nThe aggregate tables stored in results\/ (derived) are built from these data and included in the package, so users can reproduce the exhibits without the microdata. A list of all the files and variables of the raw data is provided in variable_inventory.csv, and the file hashes are in data_hash_report.csv. The data are deposited in the World Bank Development Data Hub (DDH) as a restricted dataset. To run the full pipeline, request access to the DDH dataset \"WISE-APP data for Risk to Resilience Report\" (dataset 0067211), download wiseapp_data_r2r.zip, unzip it into a new local folder, and set the environment variable WISEAPP_DATA_PATH to that folder.","access_type":"Data is limited access, and it is not included in the reproducibility package.","license":"Licensed files","citation":"World Bank. (2026). Global Monitoring Database (GMD), WISE-APP extract [dataset]. \"WISE-APP data for Risk to Resilience Report\", World Bank Development Data Hub, dataset 0067211. Unpublished data. https:\/\/datacatalog.worldbank.org\/int\/data\/dataset\/0067211\/wiseapp_data_for_risk_to_resilience_report","uri":"https:\/\/datacatalog.worldbank.org\/int\/data\/dataset\/0067211\/wiseapp_data_for_risk_to_resilience_report"},{"name":"Poverty and Inequality Platform (PIP)","note":"Filename: metadata\/cpi_ppp.csv, in the WISE-APP data folder. Auxiliary tables cpi and ppp (2021 PPP) of the World Bank Poverty and Inequality Platform, version 20260922_2021, downloaded with the pipr R package using steps\/cpi_ppp.R of the worldbank\/wise-app-data repository. Used to express household welfare in 2021 PPP US dollars per day. Accessed 2026-10-23. The file is not in the package; it is deposited with the restricted data in DDH dataset 0067211 and is also available from PIP. A list of variables is provided in variable_inventory.csv, and the file hashes are in data_hash_report.csv. This file is only needed for the optional full run from the household data.","access_type":"Data is publicly available but not included in the reproducibility package.","license":"Creative Commons Attribution 4.0 International (CC BY 4.0)","license_uri":"https:\/\/www.worldbank.org\/ext\/en\/legal\/terms-conditions\/datasets","citation":"World Bank. (2026). Poverty and Inequality Platform (version 20260922_2021) [dataset]. World Bank. Auxiliary tables: CPI and PPP (2021 PPP). Accessed 23 October 2026. https:\/\/pip.worldbank.org\/","uri":"https:\/\/pip.worldbank.org\/"},{"name":"Gridded dataset underpinning the Copernicus Interactive Climate Atlas","note":"Filename: hazard\/weather\/historical\/_era5land.parquet (21 files); hazard\/weather\/projections\/_cmip6_historical.parquet and _cmip6_ssp370.parquet (13 files each), in the WISE-APP data folder. ","access_type":"Data is publicly available and not included in the reproducibility package.","license":"Creative Commons Attribution 4.0 International (CC BY 4.0)","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","citation":"Copernicus Climate Change Service, Climate Data Store. (2024). Gridded dataset underpinning the Copernicus Interactive Climate Atlas [dataset]. Accessed 23 October 2026. https:\/\/doi.org\/10.24381\/cds.h35hb680","uri":"https:\/\/cds.climate.copernicus.eu\/datasets\/multi-origin-c3s-atlas"},{"name":"World Bank Official Boundaries","note":"Filename: data\/boundaries\/wb_admin0.gpkg; data\/boundaries\/wb_ndlsa.gpkg. Simplified copies of the Admin 0 country polygons and the non-determined legal status areas (NDLSA) of the World Bank Official Boundaries, version 3, from the World Bank Data Catalog (dataset 0038272). ","access_type":"Data is publicly available and included in the reproducibility package.","license":"Creative Commons Attribution 4.0 International (CC BY 4.0)","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","citation":"World Bank. (2026). World Bank Official Boundaries, version 3 (Admin 0 and NDLSA) [dataset]. World Bank Data Catalog, dataset 0038272. Accessed 28 October 2026. https:\/\/datacatalog.worldbank.org\/search\/dataset\/0038272\/World-Bank-Official-Boundaries","uri":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0038272\/World-Bank-Official-Boundaries"}],"technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: macOS 26.7.1\n\u2022 Processor: Apple M4 Pro (14 cores)\n\u2022 Memory available: 24 GB","reproduction_instructions":"To reproduce the findings in this paper:\n1. Open `reproducibility-package.Rproj` in RStudio.\n2. Run `renv::restore()` and follow the prompts to install the package versions used by the authors.\n3. Run `main.R` with the default setting `RUN_BATCH <- FALSE`.\nWith `RUN_BATCH <- FALSE`, the code regenerates all figures from the intermediate results included in the package. Running the full pipeline requires the raw household microdata, which is licensed and therefore not included.\n\n**Optional: rebuild the full pipeline from the raw data**\n1. Obtain access to the restricted data as described in the Datasets section.\n2. Unzip `wiseapp_data_r2r.zip` into a new local folder.\n3. In `main.R` (line 18), change `RUN_BATCH <- FALSE` to `RUN_BATCH <- TRUE`.\n4. Run `main.R`.\n"},"datacite":{"creators":[{"givenName":"Ben","familyName":"Brunckhorst","nameType":"Personal","affiliation":[{"name":"World Bank Group","affiliationIdentifier":"https:\/\/ror.org\/02md09461","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Miki Khanh","familyName":"Doan","nameType":"Personal","affiliation":[{"name":"World Bank Group","affiliationIdentifier":"https:\/\/ror.org\/02md09461","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Erwin","familyName":"Knippenberg","nameType":"Personal","affiliation":[{"name":"World Bank Group","affiliationIdentifier":"https:\/\/ror.org\/02md09461","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Alejandro ","familyName":"De la Fuente","nameType":"Personal","affiliation":[{"name":"World Bank Group","affiliationIdentifier":"https:\/\/ror.org\/02md09461","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Daniel","familyName":"Kryger","nameType":"Personal","affiliation":[{"name":"World Bank Group","affiliationIdentifier":"https:\/\/ror.org\/02md09461","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Mads","familyName":"Hoefer","nameType":"Personal","affiliation":[{"name":"University of Oxford","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org","affiliationIdentifier":"https:\/\/ror.org\/052gg0110"}]}],"titles":[{"lang":"en","title":"Reproducibility package for From Risk to Resilience: Insights on the Impacts of Climate and Climate Policies on Welfare"},{"title":"FR_WLD_2026_805","titleType":"Other"}],"publisher":"World Bank","publicationYear":"2026","types":{"resourceType":"Reproducibility package","resourceTypeGeneral":"Other"},"url":"https:\/\/reproducibility.worldbank.org\/index.php\/catalog\/study\/FR_WLD_2026_805","language":"en"},"tags":[{"tag":"DOI"},{"tag":"Open Code"},{"tag":"Open Data"},{"tag":"Restricted Data"}],"schematype":"script"}