{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DECDI","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2026-02-20","version":"1"},"project_desc":{"authoring_entity":[{"name":"Robin Middelanis","affiliation":"World Bank","email":"rmiddelanis@worldbank.org"},{"name":"Bramka Arga Jafino","affiliation":"World Bank","email":"bjafino@worldbank.org"},{"name":"Yasuhiro Kawasoe","affiliation":"World Bank","email":"Yasuhiro Kawasoe"}],"title_statement":{"title":"Reproducibility package for Coverage Or Intensity Of Support? Adaptive Social Protection To Reduce Disaster-Related Poverty","idno":"RR_WLD_2026_571"},"data_statement":"Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file. ","software":[{"name":"Python","version":"3.13"}],"scripts":[{"title":"Reproducibility package for Coverage Or Intensity Of Support? Adaptive Social Protection To Reduce Disaster-Related Poverty","date":"2026-02","notes":"Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.","instructions":"See README in reproducibility package.","file_name":"RR_WLD_2026_571","zip_package":"RR_WLD_2026_571.zip"}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"production_date":"2026-02-20","abstract":"Disasters due to natural hazards pose a significant threat to people\u2019s well-being and increase the risk of poverty, particularly in vulnerable populations. This paper provides a novel global estimate of poverty due to disasters, showing that 25.6 million people are at risk of poverty due to disasters, 12.7 million thereof facing extreme poverty. Disaster-related consumption losses amount to $758 bn and cause well-being losses equivalent to a uniform drop in consumption of $1143 bn. Adaptive social protection (ASP) aims to mitigate these risks by integrating social protection, disaster risk management, and climate adaptation to enhance disaster resilience. Yet, given limited resources, finding the right balance between coverage (the breadth of the population reached by the measure) and intensity (the extent to which each beneficiary is supported) of policy measures is challenging. This paper systematically analyzes this trade-off for various ASP measures across 131 countries. Total benefits are usually largest for the scenarios with the most extensive coverage and intensity, but the optimal expansion path differs between measures and by country income groups. The results suggest that prioritizing a measure\u2019s intensity while focusing on lower-income populations is generally the most effective approach to reduce socio-economic disaster impacts. While this pattern holds across all income groups, lower-income countries benefit more strongly from early coverage increases than higher-income countries.","geographic_units":[{"name":"World","code":"WLD"}],"keywords":[{"name":"Adaptive Social Protection"},{"name":"Disasters"},{"name":"Poverty"},{"name":"Well-Being"},{"name":"Risk Reduction"}],"topics":[{"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":" D61","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Allocative Efficiency \u2022 Cost\u2013Benefit Analysis","parent_id":"D6"},{"id":" I38","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Government Policy \u2022 Provision and Effects of Welfare Programs","parent_id":"I3"},{"id":" O20","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"General","parent_id":"O2"},{"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"}],"output":[{"type":"Working Paper","description":"Policy Research Working Papers (PRWP) 10986","title":"Coverage Or Intensity Of Support? Adaptive Social Protection To Reduce Disaster-Related Poverty","uri":"https:\/\/hdl.handle.net\/10986\/44502","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/igo\/","license":"Attribution 3.0 IGO"}],"language":[{"name":"English","code":"EN"}],"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":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"name":"Robin Middelanis","affiliation":"World Bank","email":"rmiddelanis@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"datasets":[{"name":"Global Financial Inclusion (Global Findex) Database ","citation":"Development Research Group, Finance and Private Sector Development Unit. (2022). \"Global Financial Inclusion (Global Findex) Database 2021 [dataset]\". World Bank, Development Data Group. Available at https:\/\/microdata.worldbank.org\/.","note":"Accessed in February 2025.\nEditions: 2011, 2014, 2017, and 2021\nData files are `WLD_2011_FINDEX_v02_M.csv`, `WLD_2014_FINDEX_v01_M.csv`, `WLD_2017_FINDEX_v02_M.csv`, `WLD_2021_FINDEX_v03_M.csv. Located in <code>\/Data\/Raw\/FINDEX<\/code>.","access_type":"Publicly available and included in the reproducibility package.","uri":"https:\/\/microdata.worldbank.org\/\/catalog\/global-findex\/?page=1&ps=15&repo=global-findex"},{"name":"World Social Protection Report 2024-2026: Universal Social Protection for Climate Action and a Just Transition Annex 6","uri":"https:\/\/www.social-protection.org\/gimi\/ShowWiki.action?id=52#sta","citation":"International Labour Office. (2024). \"World Social Protection Report 2024-2026: Universal Social Protection for Climate\nAction and a Just Transition Annex 6 [dataset]\". Geneva: International Labour Office. Available at https:\/\/www.social-protection.org\/gimi\/ShowWiki.action?id=52#sta.","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","license":"Creative Commons Attribution 4.0","access_type":"Publicly available and included in the reproducibility package.","note":"The data set is published as an annex as part of the report. \nAccess date: February 2025.\nFile name: ILO_WSPR_SP_exp.csv, located in <code>\/data\/raw\/social_share_regression\/<\/code>"},{"name":"Penn World Table v10.01","note":"Accessed in December 2023. \nFile name: pwt1001.xlsx, located in <code>\/data\/raw\/PWT\/<\/code>.","uri":"https:\/\/www.rug.nl\/ggdc\/productivity\/pwt\/","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","license":"Creative Commons Attribution 4.0","access_type":"Publicly available and included in the reproducibility package.","citation":"Feenstra, R. C., Inklaar, R., & Timmer, M. P. (2015). \"The Next Generation of the Penn World Table [dataset]\". American Economic Review, 105(10), 3150\u20133182."},{"name":"Global Infrastructure Risk Model and Resilience Index (GIRI) Modeled Asset Losses ","citation":"CDRI. (2023). \"Global Infrastructure Resilience: Capturing the Resilience Dividend - A Biennial Report from the Coalition for Disaster Resilient Infrastructure [dataset]\" Available at https:\/\/giri.unepgrid.ch. ","access_type":"Publicly available and included in the reproducibility package.","note":"Accessed in December 2023.\nFile name: export_all_metrics.csv.zip, located in <code>\/data\/raw\/GIRI\/<\/code>.","license_uri":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/igo","uri":"https:\/\/giri.unepgrid.ch","license":"Creative Commons Attribution 3.0 IGO"},{"name":"FLOPROS Flood Protection Levels","citation":"Scussolini, P., Aerts, J. C. J. H., Jongman, B., Bouwer, L. M., Winsemius, H. C., de Moel, H., & Ward, P. J. (2016). \"FLOPROS: an evolving global database of flood protection standards [dataset]\". Natural Hazards and Earth System Sciences, 16, 1049\u20131061. Available at https:\/\/nhess.copernicus.org\/articles\/16\/1049\/2016\/nhess-16-1049-2016.html.","note":"The data set can be downloaded directly using the link on \"supplement\" section on the website. \nAccess date: January 2024. \nAll files located in <code>\/data\/raw\/FLOPROS\/Scussolini_et_al_FLOPROS_shp_V1<\/code>.","license_uri":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/","uri":"https:\/\/nhess.copernicus.org\/articles\/16\/1049\/2016\/nhess-16-1049-2016-supplement.zip","license":"Creative Commons Attribution 3.0 Unported","access_type":"Publicly available and included in the reproducibility package."},{"name":"Modeled Coastal Flood Protection Layer","citation":"Tiggeloven, T. (2020). \"Benefit-cost analysis of adaptation objectives to coastal flooding at the global scale (Version 2) [dataset]\". Zenodo. Available at https:\/\/doi.org\/10.5281\/zenodo.4275517.","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","license":"Creative Commons Attribution 4.0","access_type":"Publicly available and included in the reproducibility package.","uri":"https:\/\/doi.org\/10.5281\/zenodo.4275517","note":"Accessed in January 2024. \nFile name: Results_adaptation_objectives.zip, unzipped to <code>\/data\/raw\/FLOPROS\/Tiggeloven_et_al_2020_data\/<\/code>."},{"name":"World Bank Official Boundaries","citation":"World Bank. (2025). \"World Bank Official Boundaries [dataset]\". World Bank. Available at https:\/\/datacatalog.worldbank.org\/int\/search\/dataset\/0038272\/World-Bank-Official-Boundaries","note":"File names: WB_GAD_ocean_mask.zip, WB_GAD_Lines.zip, WB_GAD_ADM0_complete.zip, WB_GAD_ADM0_NDLSA, located in <code>\/data\/raw\/WB_shapes\/<\/code>.","uri":"https:\/\/datacatalog.worldbank.org\/infrastructure-data\/search\/dataset\/0038272\/World-Bank-Official-Administrative-Boundaries","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","license":"Creative Commons Attribution 4.0","access_type":"Publicly available and included in the reproducibility package."},{"name":"Gridded Population of the World, Version 4 (GPWv4)","citation":"Center For International Earth Science Information Network-CIESIN-Columbia University. (2018). \"Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals, Revision 11 (Version 4.11) [dataset]\". Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). Available at https:\/\/www.earthdata.nasa.gov\/data\/catalog\/sedac-ciesin-sedac-gpwv4-apdens-wpp-2015-r11-4.11.","uri":"https:\/\/www.earthdata.nasa.gov\/data\/catalog\/sedac-ciesin-sedac-gpwv4-apdens-wpp-2015-r11-4.11","note":"Access date: January 2024.\nData file: gpw_v4_population_density_adjusted_rev11_2pt5_min.nc.zip, located in <code>\/data\/raw\/GPW\/<\/code>.\nNote that data access requires login.","access_type":"Publicly available and included in the reproducibility package.","license":"Creative Commons Zero (CC0)","license_uri":"https:\/\/creativecommons.org\/public-domain\/cc0\/"},{"name":"Global Exposure Model","citation":"Yepes-Estrada, C., Calderon, A., Costa, C., Crowley, H., Dabbeek, J., Hoyos, M., Martins, L., Paul, N., Rao, A., & Silva, V. (2023). \"Global Building Exposure Model for Earthquake Risk Assessment [dataset]\". Earthquake Spectra. Available at https:\/\/github.com\/gem\/global_exposure_model.","uri":"https:\/\/github.com\/gem\/global_exposure_model","license_uri":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/","license":"Attribution-NonCommercial-ShareAlike 4.0 International","note":"Access date: January 2025.\nRepository is cloned to <code>\/data\/raw\/GEM_vulnerability\/global_exposure_model\/<\/code>.","access_type":"Publicly available and included in the reproducibility package."},{"name":"Global Monitoring Database (GMD) - Relative per-quintile vulnerabilities ","citation":"World Bank. (2023). \"Global Monitoring Database (GMD) [dataset]\". Unpublished data. Accessed February 2024.","access_type":"Data access requires purchase or human approval and is not included in the reproducibility package.\n","note":"Access date: February 2024.\nFile name: Dwelling quintile vul ratio.xlsx, must be located in <code>\/data\/raw\/GMD_vulnerability_distribution\/<\/code>.\nTo request access please contact data4goals@worldbank.org."},{"name":"Hyogo Framework for Action Performance Indicators","citation":"UNISDR. (2007). \"Hyogo framework for action 2005-2015: building the resilience of nations and communities to disasters\". Geneva: United Nations Office for Disaster Risk Reduction. https:\/\/www.unisdr.org\/we\/inform\/publications\/43291","note":"File names: HFA_all_2009_2011.csv, HFA_all_2011_2013.csv, HFA_all_2013_2015.csv, must be located in <code>\/data\/raw\/HFA\/<\/code>. The compiled list of indicators is not publicly available. For information on this dataset, the author can be contacted at: rmiddelanis@worldbank.org.","access_type":"There is no documented way to access the data, and it is not included in the reproducibility package."},{"name":"World Risk Poll","citation":"Lloyd's Register Foundation. (2022). \"2021 World Risk Poll [dataset]\". Lloyd's Register Foundation. Available at https:\/\/www.lrfoundation.org.uk\/wrp\/world-risk-poll-data.","uri":"https:\/\/www.lrfoundation.org.uk\/wrp\/world-risk-poll-data","access_type":"Publicly available and included in the reproducibility package.","note":"Access date: February 2024.\nFile name: lrf_wrp_2021_full_data.csv.zip, located in <code>\/data\/raw\/WRP\/<\/code>.\nDirect download: https:\/\/wrp.lrfoundation.org.uk\/wp-content\/uploads\/2023\/05\/lrf_wrp_2021_full_data.zip","license":"Direct download"},{"name":"Estimated number of exposed people by poverty line and hazard","citation":"Middelanis, R., Jafino, B. A., Hill, R., Nguyen, M. C., & Hallegatte, S. (2025). Reproducibility package for Global Socio-Economic Resilience To Natural Disasters. World Bank. https:\/\/doi.org\/10.60572\/ZMA0-Z495","note":"File name: exposure bias.dta, located in <code>\/data\/raw\/PEB\/<\/code>.\nData is obtained from Poverty Group of the World Bank and it's restricted, therefore not included in the package. \nIndividuals interested in accessing the data for replication purposes can contact Ben James Brunckhorst at bbrunckhorst@worldbank.org.","access_type":"Data access was granted directly to the study authors by the data owners\/managers (Restricted data)."},{"name":"World Bank Poverty and Inequality Rates ","citation":"World Bank. (2026). \"Poverty and Inequality Platform (version 20250930_2021_01_02_PROD) [dataset]\". World Bank. Available at pip.worldbank.org.","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","license":"Creative Commons Attribution 4.0","uri":"https:\/\/pip.worldbank.org\/poverty-calculator","note":"Poverty lines data: located in <code>\/data\/raw\/PEB\/poverty_data<\/code>, folder includes datasets for poverty lines 215, 320, 325, 365, 430, 545, 550, 685, 700, 750, 1000, 1500. \nPopulation headcount at various poverty lines data: <pl>_povline.csv with `<pl>` being one of [215, 320, 325, 365, 430, 545, 550, 685, 700, 750, 1000, 1500], corresponding to poverty lines of 2.15, 3.20, 3.25, 3.65, 4.30, 5.45, 5.50, 6.85, 7.00, 7.50, 10.00, and 15.00 USD per day.","access_type":"Publicly available and included in the package. "},{"name":"Investment and Capital Stock Dataset (ICSD)","citation":"International Monetary Fund. (2022). \"Investment and Capital Stock Dataset (ICSD), 1960-2021 [dataset]\". Available at https:\/\/data.imf.org\/en\/datasets\/\/IMF.FAD:ICSD. ","note":"Access date: February 2025. \nFile name: IMFInvestmentandCapitalStockDataset2021.xlsx, located in <code>\/data\/raw\/IMF\/<\/code>.","uri":"https:\/\/data.imf.org\/en\/datasets\/\/IMF.FAD:ICSD","access_type":"Publicly available and included in the package. ","license_uri":"https:\/\/www.imf.org\/en\/about\/copyright-and-terms","license":"The Use of IMF Data"},{"name":"Demographic Statistics Database","citation":"Demographic Statistics Database, United Nations Statistics Division. (n.d.). \"Demographic Statistics Database [dataset]\". UNData. Available at https:\/\/data.un.org\/Data.aspx?q=Household+tenure&d=POP&f=tableCode%3a304.","uri":"https:\/\/data.un.org\/Data.aspx?q=Household+tenure&d=POP&f=tableCode%3a304","note":"Access date: February 2025.\nFile name: 2025-02-18_household_tenure.csv, located in <code>\/data\/raw\/UNdata\/<\/code>.","access_type":"Publicly available and included in the package. ","license":"UNData Terms and Conditions of use","license_uri":"https:\/\/data.un.org\/Host.aspx?Content=UNdataUse"},{"name":"Table 2.5 Value added by industries at constant prices (ISIC Rev. 4)","access_type":"Publicly available and included in the package. ","citation":"National Accounts Official Country Data,  United Nations Statistics Division. (n.d.). \"Table 2.5 Value added by industries at constant prices (ISIC Rev. 4)[dataset]\". UNData. Available at https:\/\/data.un.org\/Data.aspx?q=Value+added+by+industries+at+constant+prices+(ISIC+Rev.+4)&d=SNA&f=group_code%3a205.","uri":"https:\/\/data.un.org\/Data.aspx?q=Value+added+by+industries+at+constant+prices+(ISIC+Rev.+4)&d=SNA&f=group_code%3a205","note":"Access date: February 2025.\nFile name: 2025-02-13_value_added_by_industry.csv, located in <code>\/data\/raw\/UNdata\/<\/code>.","license_uri":"https:\/\/data.un.org\/Host.aspx?Content=UNdataUse","license":"UNData Terms and Conditions of use"},{"name":"Eurostat Database ","note":"Access date: February 2025. \nIndicators used are Capital stocks by industry (NACE Rev.2) and detailed asset type, Gross value added and income by detailed industry (NACE Rev.2), Distribution of population by tenure status, type of household and income group.\nFile names: eurostat__nama_10_nfa_st__capital_stock.csv, eurostat__nama_10_a64__value_added.csv respectively, located in <code>\/data\/raw\/Eurostat\/<\/code> and <code>\/data\/raw\/Home_ownership_rates\/home_ownership_rates.xlsx<\/code>.","access_type":"Publicly available and included in the package. ","citation":"Eurostat. (n.d.). \"EuroStat Database [dataset]\". European Commission. Available at https:\/\/ec.europa.eu\/eurostat\/web\/main\/data\/database.","idno":"nama_10_nfa_st, nama_10_a64, ilc_lvho02","uri":"https:\/\/ec.europa.eu\/eurostat\/web\/main\/data\/database"},{"name":"OECD Affordable Housing Database","uri":"https:\/\/www.oecd.org\/content\/oecd\/en\/data\/datasets\/oecd-affordable-housing-database.html","note":"Indicator used is HM1.3 Housing tenures. \nAccess date: February 2025. \nFile name: HM1-3-Housing-tenures.xlsx. Values stored in sheet \"OECD\" of <code>\/data\/raw\/Home_ownership_rates\/home_ownership_rates.xlsx<\/code>.","citation":"OECD. (2025). \"OECD Affordable Housing Database -  indicator HM1.3 Housing tenures [dataset]\". Paris: OECD. Available at https:\/\/www.oecd.org\/content\/oecd\/en\/data\/datasets\/oecd-affordable-housing-database.html.","access_type":"Publicly available and included in the package. "},{"citation":"Centre for Affordable Housing Finance in Africa. (2024). \"2024 Yearbook: Housing Finance in Africa\". Johannesburg: Centre for Affordable Housing Finance in Africa, 2024. Available at https:\/\/housingfinanceafrica.org\/.","note":"Access date: February 2025. \nValues stored in sheet \"CAHF\" of <code>\/data\/raw\/Home_ownership_rates\/home_ownership_rates.xlsx<\/code>.","uri":"https:\/\/housingfinanceafrica.org\/","access_type":"Publicly available and included in the package. ","name":"Centre for Affordable Housing Finance in Africa (CAHF) home ownership rates"},{"name":"World Bank Country and Lending Groups","citation":"World Bank. (2025). \"World Bank Country and Lending Groups [dataset]\". World Bank. Available at https:\/\/datahelpdesk.worldbank.org\/knowledgebase\/articles\/906519-world-bank-country-and-lending-groups.","uri":" https:\/\/datacatalogfiles.worldbank.org\/ddh-published\/0037712\/DR0090755\/CLASS.xlsx","access_type":"Publicly available and included in the package. ","note":"Access date: October 2025.\nFile name: world_bank_countries.csv, located in <code>\/data\/raw\/WB_socio_economic_data\/API\/<\/code>.","license":"Creative Commons Attribution 4.0","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"name":"Global Earthquake Model (GEM) Building Taxonomy","citation":"Brzev, S., Scawthorn, C., Charleson, A.W., Allen, L., Greene, M., Jaiswal, K., Silva, V. (2013). \"GEM Building Taxonomy Version 2.0, GEM Technical Report 2013-02 V1.0.0\". Pavia, Italy: GEM Foundation.","uri":"https:\/\/cloud-storage.globalquakemodel.org\/public\/wix-new-website\/pdf-collections-wix\/publications\/GEM%20Building%20Taxonomy%20Version%202.0.pdf","license":"Attribution 3.0 Unported","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/deed.en","note":"Access date: December 2023.\nData was extracted from Table D-2 in the paper, stored as hazus-gem_mapping.csv, located in <code>\/data\/raw\/GEM_vulnerability\/<\/code>.","access_type":"Publicly available and included in the package. "},{"name":"World Development Indicators","note":"The following data sets are downloaded from the World Bank DataBank by the model when the <code>force_download<\/code> flag is set to <code>True<\/code>. \nDatasets used:\n<ul>\n   <li>Income share held by lowest \/ second \/ third \/ fourth \/ highest 20% (identifiers SI.DST.FRST.20, SI.DST.02nd.20, SI.DST.03rd.20, SI.DST.04th.20, SI.DST.05th.20)<\/li>\n   <li>Population, total (identifier SP.POP.TOTL)<\/li>\n   <li>Personal remittances, received (% of GDP) (identifier BX.TRF.PWKR.DT.GD.ZS)<\/li>\n    <li>Self-employed, total (% of total employment) (modeled ILO estimate)(identifier SL.EMP.SELF.ZS)<\/li>\n    <li>Unemployment, total (% of total labor force) (modeled ILO estimate) (identifier SL.UEM.TOTL.ZS)<\/li>\n    <li>GDP per capita, PPP (constant 2017 international $) (identifier NY.GDP.PCAP.PP.KD)<\/li>\n    <li>GNI per capita, PPP (constant 2017 international $) (identifier NY.GNP.PCAP.PP.KD)<\/li>\n    <li>Coverage in 1st \/ 2nd \/ 3rd \/ 4th \/ 5th quintile (%) -All Social Protection and Labor (identifiers \n    per_allsp.cov_q1_tot, per_allsp.cov_q2_tot, per_allsp.cov_q3_tot, per_allsp.cov_q4_tot, per_allsp.cov_q5_tot)<\/li>\n    <li>Adequacy of benefits in 1st \/ 2nd \/ 3rd \/ 4th \/ 5th quintile (%) -All Social Protection and Labor \n    (identifiers per_allsp.adq_q1_tot, per_allsp.adq_q2_tot, per_allsp.adq_q3_tot, per_allsp.adq_q4_tot, per_allsp.adq_q5_tot)<\/li>\n    <li>Coverage in 1st \/ 2nd \/ 3rd \/ 4th \/ 5th quintile (%) - All Private Transfers\" (identifiers \n    per_pr_allpr.cov_q1_tot, per_pr_allpr.cov_q2_tot, per_pr_allpr.cov_q3_tot, per_pr_allpr.cov_q4_tot, per_pr_allpr.cov_q5_tot)<\/li>\n    <li>Adequacy of benefits in 1st \/ 2nd \/ 3rd \/ 4th \/ 5th quintile (%) - All Private Transfers\n      (identifiers per_pr_allpr.adq_q1_tot, per_pr_allpr.adq_q2_tot, per_pr_allpr.adq_q3_tot, per_pr_allpr.adq_q4_tot, per_pr_allpr.adq_q5_tot)<\/li>\nAccess date: October 2025.","access_type":"Publicly available and included in the package. ","license":"Creative Commons Attribution 4.0","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","uri":"https:\/\/databank.worldbank.org","citation":"World Bank. (n.d.). \"World Development Indicators [dataset]\". World Bank. Available at https:\/\/databank.worldbank.org"}],"technology_requirements":"~ 7 hours run time.","technology_environment":"\u2022 OS: Windows 11 Enterprise\n\u2022 Processor: Intel(R) Core(TM) Ultra 7 165U @ 2.60GHz\n\u2022 Memory available: 18 GB","reproduction_instructions":"1. Open Anaconda and change directory to where the package is stored.\n2. Restore the Conda environment using `environment.yaml` file.\n3. Run `reproduce_reults.py` (The code to initiate the run is included in the README)."},"tags":[{"tag":"DOI"},{"tag":"Open Code"},{"tag":"Restricted Data"}],"schematype":"script"}