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Reproducibility package for From Risk to Resilience: Insights on the Impacts of Climate and Climate Policies on Welfare

2026
Get Reproducibility Package
Reference ID
FR_WLD_2026_805
DOI
https://doi.org/10.60572/0h9w-ve92
Author(s)
Ben Brunckhorst, Miki Khanh Doan, Erwin Knippenberg, Alejandro de la Fuente, Daniel Kryger, Mads Hoefer
Collections
Flagships and Reports
Metadata
JSON
Created on
Nov 13, 2026
Last modified
Nov 13, 2026
Page views
3
Downloads
6
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    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.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/catalog/703/download/2129/README.pdf
    Reproducibility package for From Risk to Resilience: Insights on the Impacts of Climate and Climate Policies on Welfare
    File name
    FR_WLD_2026_805
    Zip package
    FR_WLD_2026_805.zip
    Title
    Reproducibility package for From Risk to Resilience: Insights on the Impacts of Climate and Climate Policies on Welfare
    Date
    2026-11
    Dependencies
    R dependencies are listed in the file renv.lock.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    R
    Name
    R
    Version
    4.6.2

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: macOS 26.7.1
    • Processor: Apple M4 Pro (14 cores)
    • Memory available: 24 GB

    Technology requirements

    Runtime:

    • From the aggregate tables included in the package: 2 minutes.
    • The optional full run from the restricted microdata: 3 hours 15 minutes.
    Reproduction instructions

    To reproduce the findings in this paper:

    1. Open reproducibility-package.Rproj in RStudio.
    2. Run renv::restore() and follow the prompts to install the package versions used by the authors.
    3. Run main.R with the default setting RUN_BATCH <- FALSE.
      With 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.

    Optional: rebuild the full pipeline from the raw data

    1. Obtain access to the restricted data as described in the Datasets section.
    2. Unzip wiseapp_data_r2r.zip into a new local folder.
    3. In main.R (line 18), change RUN_BATCH <- FALSE to RUN_BATCH <- TRUE.
    4. Run main.R.

    Data

    Datasets
    WISE-APP data for Risk to Resilience Report
    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. H3 location lookup for the GMD household surveys. Filenames: microdata/h3/_GMD_h3.parquet (60 files). The 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 policy
    Data is limited access, and it is not included in the reproducibility package.
    License
    Licensed files
    Data URL
    https://datacatalog.worldbank.org/int/data/dataset/0067211/wiseapp_data_for_risk_to_resilience_report
    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
    Poverty and Inequality Platform (PIP)
    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 policy
    Data is publicly available but not included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://www.worldbank.org/ext/en/legal/terms-conditions/datasets
    Data URL
    https://pip.worldbank.org/
    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/
    Gridded dataset underpinning the Copernicus Interactive Climate Atlas
    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 policy
    Data is publicly available and not included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://cds.climate.copernicus.eu/datasets/multi-origin-c3s-atlas
    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
    World Bank Official Boundaries
    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 policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution 4.0 International (CC BY 4.0)
    License URL
    https://creativecommons.org/licenses/by/4.0/
    Data URL
    https://datacatalog.worldbank.org/search/dataset/0038272/World-Bank-Official-Boundaries
    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
    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.

    Description

    Output
    From Risk to Resilience: Insights on the Impacts of Climate and Climate Policies on Welfare
    Type
    Flagship or other report
    Title
    From Risk to Resilience: Insights on the Impacts of Climate and Climate Policies on Welfare
    Description
    Prosperity Publication
    Authors
    Author Affiliation Email
    Ben Brunckhorst World Bank Group bbrunckhorst@worldbank.org
    Miki Khanh Doan World Bank Group mkdoan@worldbankgroup.org
    Erwin Knippenberg World Bank Group eknippenberg@worldbank.org
    Alejandro de la Fuente World Bank Group adelafuente@worldbankgroup.org
    Daniel Kryger World Bank Group dkryger@worldbank.org
    Mads Hoefer World Bank Group, University of Oxford mads.hoefer@oriel.ox.ac.uk
    Date of production

    2026-11-10

    Scope and coverage

    Geographic locations
    Location Code
    World WLD
    Keywords
    Welfare Poverty Climate Change Extreme Weather Microsimulation Household Surveys
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    Q54 Climate • Natural Disasters and Their Management • Global Warming Q5 Journal of Economic Literature (JEL)
    I32 Measurement and Analysis of Poverty I3 Journal of Economic Literature (JEL)
    O12 Microeconomic Analyses of Economic Development O1 Journal of Economic Literature (JEL)
    D31 Personal Income, Wealth, and Their Distributions D3 Journal of Economic Literature (JEL)
    C15 Statistical Simulation Methods: General C1 Journal of Economic Literature (JEL)
    Q18 Agricultural Policy • Food Policy • Animal Welfare Policy Q1 Journal of Economic Literature (JEL)

    Disclaimer

    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.

    Access and rights

    License
    Name URI
    MIT License https://opensource.org/license/mit
    World Bank IGO Rider https://github.com/worldbank/metadata-editor/blob/main/WB-IGO-RIDER.md

    Contacts

    Contacts
    Name Affiliation Email
    Ben Brunckhorst World Bank Group bbrunckhorst@worldbank.org
    Reproducibility World Bank Group World Bank Group reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2026-11-10

    Document version

    1

    Citation

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