{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2025-03-04","version":"2"},"project_desc":{"authoring_entity":[{"name":"Christoph Lakner","email":" clakner@worldbank.org","affiliation":"World Bank"},{"name":"Maria Eugenia Genoni","email":"mgenoni@worldbank.org","affiliation":"World Bank"},{"email":"hstemmler@worldbank.org","affiliation":"World Bank","name":"Henry Stemmler"},{"name":"Nishant Yonzan","affiliation":"World Bank","email":"nyonzan@worldbank.org"},{"name":"Samuel Kofi Tetteh Baah","affiliation":"World Bank","email":"stettehbaah@worldbank.org"}],"output":[{"type":"World Bank Reports & Flagships","title":"Poverty, Prosperity and Planet Report 2024","authors":"Christoph Lakner, Maria Eugenia Genoni, Henry Stemmler, Nishant Yonzan, Samuel Kofi Tetteh Baah","uri":"https:\/\/hdl.handle.net\/10986\/42211"}],"software":[{"name":"Stata","version":"18.0"},{"name":"Excel","version":"Microsoft Excel for Microsoft 365 MSO"}],"scripts":[{"file_name":"FR_WLD_2024_198.zip","zip_package":"FR_WLD_2024_198.zip","title":"Reproducibility package for Poverty, Prosperity and Planet Report 2024 ","date":"2025-03","dependencies":"All dependency files are stored in the ado folder.","notes":"Computational reproducibility verified by the Development Impact (DIME) Analytics team, World Bank.","instructions":"This reproducibility package, as published in this repository, runs using the processed data created by the authors. The code required to run the internal version with raw data is also included in the package but is currently commented out."}],"title_statement":{"idno":"FR_WLD_2024_198_v2","title":"Reproducibility package for Poverty, Prosperity and Planet Report 2024 "},"production_date":"2025-03","geographic_units":[{"name":"World","code":"WLD","type":"Region"}],"language":[{"name":"English","code":"EN"}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"\thttps:\/\/reproducibility.worldbank.org"}],"reproduction_instructions":"1. **Download the Package**: Obtain the package files from the provided source.\n2. **Update File Paths**: Open the main do-file 'PPPR24_master' and adjust the file paths to match your system's directory structure.\n3. **Execute the Code**: Run the 'PPPR24_master' do-file to perform the analysis using the provided processed data.\n*Note:* Replicators have confirmed that executing the full code from the raw data successfully reproduces the intermediate data. Since some raw data is not publicly accessible, the code for generating intermediate data is included but disabled by default in the main do-file, allowing users to run the package directly from the provided intermediate data.","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\/"}],"technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 10 Enterprise\n\u2022 Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz   2.90 GHz  (2 processors)\n\u2022 Memory available: 32 GB\n\u2022 Software version: Stata version 18 MP","contacts":[{"affiliation":"World Bank","name":"Henry Stemmler","email":"hstemmler@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"abstract":"The World Bank has set a clear mission: ending extreme poverty and boosting shared prosperity on a livable planet. This new edition of the biennial series, previously titled Poverty and Shared Prosperity, assesses the three components of the mission and emphasizes that reducing poverty and increasing shared prosperity must be achieved without high costs to the environment. The current polycrisis\u2014where the multiple crises of slow economic growth, increased fragility, climate risks, and heightened uncertainty have come together at the same time\u2014makes national development strategies and international cooperation difficult. This overview summarizes the progress toward achieving these goals, outlines promising pathways to speed up the progress on multiple fronts, and proposes priorities tailored to countries at various levels of poverty, income, and environmental vulnerability. Offering the first post-COVID-19 (Coronavirus) pandemic assessment of global progress on this interlinked agenda, the report finds that global poverty reduction has resumed but at a pace slower than before the COVID-19 crisis. It also provides evidence that the number of countries with high levels of income inequality has declined considerably during the past two decades, but the pace of improvements in shared prosperity has slowed and that inequality remains high in Latin America and the Caribbean and in Sub-Saharan Africa. The report also finds evidence of countries\u2019 increasing ability to manage natural hazards where there has been progress in poverty reduction and shared prosperity; but in the poorest settings, the report finds that climate risks are significantly higher.","technology_requirements":"~10 minutes runtime\n\n","datasets":[{"name":"World Bank Classification Data","access_type":"Published with the package","uri":"https:\/\/github.com\/GPID-WB\/Class\/blob\/master\/OutputData\/CLASS.dta","note":"Source: World Bank.  Global Poverty & Inequality Data team (GPID). \nFile names: CLASS.dta, CLASS_FY24.dta.\nLocated at \/1-data\/raw\/classifications in all the folders: Summary, Overview, Chapter 1 - Chapter 4; and in Chapter 2\/1-data\/processed after renaming it to CLASS_FY24. \n"},{"name":"Greenhouse Gas Emission Data","note":"Source: World Bank.\nFile name: CSC-GHG_emissions-2024.03.29b.xlsx.\nLocated at 1-data\/raw\/emissions\/edgar for Summary, Overview, and Chapter 3. \nThe data for individual indicators is available in the World Development Indicators, with specific indicators provided in the README. The package includes the combined version of the dataset. Additionally, the README contains detailed documentation and instructions on how the dataset was created.","access_type":"Included in the package."},{"name":"World Development Indicators","access_type":"Published with the package","note":"Source: World Bank. \nFile name: gdp_wdi.dta\nLocated at: Summary\/1-data\/raw\/other and Overview\/1-data\/raw\/other. \nIndicators consulted: GDP (constant 2015 US$).","license":"Creative Commons Attribution 4.0 (CC-BY 4.0)","license_uri":"https:\/\/datacatalog.worldbank.org\/public-licenses#cc-by","uri":"https:\/\/data.worldbank.org\/indicator\/NY.GDP.MKTP.KD"},{"name":"Poverty and Inequality Platform (PIP) Data","note":"Source: World Bank. This entry includes multiple indicators obtained from the World Bank's Poverty and Inequality Platform (PIP), with most data accessed via the PIP API. The documentation for the pip package is available through the link in the README file, where you can also find the code used to access the data. The datasets are organized as follows:\n\n- pfw_v11.dta: Not obtained from the API but available for direct download in the link below; located in Summary\/1-data\/raw\/other, Overview\/1-data\/raw\/other, and 1-data\/raw for Chapters 2 and 4.\n- pip_data_survey_202408.dta, pip_data_lineup_202408.dta, and pip_data_aggregate_202408.dta: Located in Summary\/1-data\/raw\/poverty and 1-data\/raw\/pip for Overview, Chapter 1, and Chapter 4; creation instructions can be found in the README.\n- pop.dta and pop_reportinglevel.dta: Found in 1-data\/processed for Summary, Overview, Chapter 1, Chapter 2, Chapter 3, and Chapter 4; see the README for data creation steps.\n- PG_1981_2024_3pr24.dta: Stored in Summary\/1-data\/processed, Overview\/1-data\/processed, and Chapter 2\/1-data\/processed and code is included in ch2_1a_pip_data.do.\n- countrylist.dta: Available in 1-data\/processed for Overview, Chapter 1, and Chapter 4.\n- country_income_distribution.dta: Located in Overview\/1-data\/processed, created within the overview_1b_povertydata script.\n- pip_data_last_survey_202209.dta: Found in Chapter 1\/1-data\/raw\/pip.\n- pip_3pr2024_v20240802.dta, piptables_country_list.dta, sp_pop_totl.dta, and PG_surveyestimates_20240802.dta: All located in Chapter 2\/1-data\/processed.\n\nPlease note that the data may change over time, but the version used by the authors is provided for reproducibility. ","access_type":"Published with the package","uri":"https:\/\/github.com\/PIP-Technical-Team\/aux_pfw\/blob\/DEV\/pfw.dta","license":"Creative Commons Attribution 4.0 International License","license_uri":"https:\/\/www.worldbank.org\/en\/about\/legal\/terms-of-use-for-datasets"},{"uri":"https:\/\/datacatalog.worldbank.org\/int\/search\/dataset\/0064304\/1000_binned_global_distribution","license_uri":"https:\/\/datacatalog.worldbank.org\/int\/public-licenses?fragment=cc","license":"Creative Commons Attribution 4.0 (CC-BY 4.0)","access_type":"Published with the package","name":"1000 Binned Global Distribution","note":"Source: Mahler, Daniel Gerszon;\u202fYonzan, Nishant;\u202fLakner, Christoph.\u202f2022.\u202fThe Impact of COVID-19 on Global Inequality and Poverty. Policy Research Working Papers;10198.\u202f\nFile name: mean_bottomcode.dta.\nLocated at: Summary\/1-data\/raw\/other, Overview\/1-data\/data\/raw\/other, and Chapter 2\/1-data\/raw. To create the dataset from raw data, follow the instructions in the README file. \n"},{"note":"Source: Nguyen, M. C., Brunckhorst, B. J., Naikal, E. G., Gorgulu, N., Vargas Hill, R., Hallegatte, S., Minh Cong Nguyen, Ben James Brunckhorst, Esther G. Naikal, Nisan Gorgulu, Ruth Vargas Hill, & Stephane Hallegatte. (2024). Reproducibility package for Climate Risk Scorecard Vision Indicator 2021. World Bank. \nFile name:  Exp_vul_rai_2021_raw.dta\nLocated at: 1-data\/raw\/vulnerability for Summary, Overview, and Chapter 3. \nThe data used in this package is the resulting data frame derived from the packages linked below. The final dataset itself is not shared externally; only the indicators scorecard is provided, The full dataset was directly supplied by the authors. Please refer to the instructions in the following link to recreate the dataset. Additionally, the authors of this paper have provided processed data, included with this package, allowing for full replication of the study using the present package running from the processed data.","uri":"https:\/\/reproducibility.worldbank.org\/index.php\/catalog\/186","name":"Climate Risk Scorecard Vision Data","access_type":"Restricted and not included in the package, but intermediate data is provided"},{"name":"The PRIMAP-hist National Historical Emissions Time Series","note":"Source: G\u00fctschow, Johannes; Busch, Daniel; Pfl\u00fcger, Mika (2024): The PRIMAP-hist national historical emissions time series (1750-2023) v2.6. Zenodo. https:\/\/doi.org\/10.5281\/zenodo.13752654.\nFile name: historical_ghg-emissions_cw_pik.csv\nLocated at: Overview\/1-data\/raw\/emissions, and Chapter 3\/1-data\/raw\/emissions","access_type":"Published with the package","license":"Creative Commons Attribution 4.0 (CC-BY 4.0)","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","uri":"https:\/\/primap.org\/primap-hist\/"},{"name":"Network for Greening the Financial System (NGFS) Phase 4 Scenario Explorer and Data","uri":"https:\/\/data.ene.iiasa.ac.at\/ngfs\/#\/workspaces","note":"Source: NGFS Phase 4 Scenario Explorer.\nFile Names: ngfs_downscale_emissions.xlsx; ngfs_global_emissions.xlsx; ngfs_global_temp.xlsx; ngfs_rm_downscale_gdppop.xlsx; ngfs_rm_global_gdppop.xlsx; ngfs_downscale_electricity; ngfs_downscale_primenergy.\nLocated at: \/1-data\/raw\/ngfs_projections for Overview and Chapter 3. \nThe data can be accessed and downloaded from the NGFS Phase 4 Scenario Explorer at the following link. Please see the README file for detailed instructions on how to consult the raw data. In addition, intermediate data needed to run the published package is included. ","license":"Public License ","license_uri":"https:\/\/data.ene.iiasa.ac.at\/ngfs\/#\/license","access_type":"Public, but does not allow republication"},{"name":"Shared Socioeconomic Pathways (SSP) Scenario Explorer and Data","note":"Source: IIASA SSP Scenario Explorer 3.1.0. \nFile Name: ssp_global_gdp_pop.xlsx. Located at: Chapter 4\/1-data\/raw\nFollow the instructions in README to download the data and save it as ssp_global_gdp_pop.xlsx in Chapter 4\/1-data\/raw.","license_uri":"https:\/\/data.ece.iiasa.ac.at\/ssp\/#\/license","uri":"https:\/\/data.ece.iiasa.ac.at\/ssp\/","access_type":"Public, but does not allow republication"},{"note":"Source: Wollburg, P., Hallegatte, S. & Mahler, D.G. Ending extreme poverty has a negligible impact on global greenhouse gas emissions. Nature 623, 982\u2013986 (2023). https:\/\/doi.org\/10.1038\/s41586-023-06679-0. Excel files for Figures 2a and 3 are downloaded and saved in separate sheets.\nFile name: wollburgetal2023.xlsx\nLocated at 1-data\/raw\/other for Overview and Chapter 3. ","license":"Creative Commons Attribution 3.0 IGO License","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/igo\/deed.en","access_type":"Published with the package","uri":"https:\/\/www.nature.com\/articles\/s41586-023-06679-0#MOESM5","name":"Estimates of Additional Emission Intensity under Poverty Reduction Scenarios"},{"license":"Creative Commons Attribution 4.0 (CC-BY 4.0)","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","uri":"https:\/\/ipcc-browser.ipcc-data.org\/browser\/dataset\/152\/0","access_type":"Published with the package","note":"Source: Gillett, N.P.; Malinina, E.; Kaufman, D.; Neukom, R. ,\u20022023,\u2002Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.1 (v20221116),\u2002NERC EDS Centre for Environmental Data Analysis,\u2002https:\/\/dx.doi.org\/10.5285\/0b2759059ad6474098e40dad73e0a8ec. \nFile name: gmst_changes_model_and_obs\nLocated at: 1-data\/raw\/other for Overview and Chapter 3","name":"Global Temperature Estimates Data"},{"name":"Global Subnational Poverty Atlas ","note":"Source: Global Subnational Atlas of Poverty (version October 2024) [Data set]. World Bank Group.\nFile name: AM24 - GSAP data 2010 2019 2021.xlsx (Referenced as GSAP_lineup2021_external.dta in the README)\nLocated at: Chapter 1\/1-data\/raw\/other.\n\n","license":"Creative Commons Attribution 4.0","license_uri":"https:\/\/datacatalog.worldbank.org\/int\/public-licenses?fragment=cc","uri":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0042041\/global_subnational_poverty_atlas_gsap","access_type":"Included in the package"},{"note":"Source: Xie, Jing, Daniel Gerszon Mahler, Nishant Yonzan, Samuel Kofi Tetteh Baah, Christoph Lakner. 2024. \"Off target? Assessing poverty nowcasting amidst the COVID-19 crisis\". World Bank blogs. World Bank, Washington DC. https:\/\/blogs.worldbank.org\/en\/opendata\/off-target--assessing-poverty-nowcasting-amidst-the-covid-19-cri\nFile name : combinedprojecteddata_globalchanges.dta.\nLocated at: Located at: Chapter 1\/1-data\/raw\/other. ","access_type":"Published with the package","name":"World Bank's COVID-19 poverty projections various vintages","uri":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0066555\/world_bank_covid19_poverty_projections_various_vintages","license_uri":"https:\/\/datacatalog.worldbank.org\/int\/public-licenses?fragment=cc","license":"Creative Commons Attribution 4.0 (CC-BY 4.0)"},{"note":"Source: Wai-Poi, M., M. Sosa, and P. Bachas. Forthcoming. \u201cTaxes, Spending and Equity: International Patterns and Lessons for Developing Countries.\u201d Washington, DC: The World Bank. \nFile name: Ginis_3PR_fromWaiPoiSosaBatchas.\nLocated at: Chapter 2\/1-data\/processed. \nThe data was provided directly by the authors of the source paper and is currently not publicly available. However, it has been included in this reproducibility package. This entry will be updated with a link once the data becomes publicly accessible. ","access_type":"Published with the package","name":"Disposable and Market Income Inequality Data"},{"name":"Bottom-coding for the Measurement of Global Poverty and Inequality Data","note":"Source: Yonzan, Nishant, Minh Cong Nguyen, Christoph Lakner, Aart Kraay, Dean Mitchell Jolliffe, Haoyu Wu, Gabriel Lara Ibarra. Forthcoming. Bottom-coding for the measurement of global poverty and inequality.\nFile name: PG_bottomcoding_paper.dta.\nLocated at: Chapter 2\/1-data\/processed. \nThe data was provided directly by the authors of the source paper and is currently not publicly available. However, it has been included in this reproducibility package. This entry will be updated with a link once the data becomes publicly accessible. ","access_type":"Published with the package"},{"name":" Energy Information Administration (EIA) Open Data Portal","note":"Source: The U.S. Energy Information Administration.\nFile name: eia_energy.csv.\nLocated at: Chapter 3\/1-data\/raw\/energy.\nThe indicators consulted for this analysis include Production, Coal, Natural Gas, Petroleum and Other Liquids, Nuclear, Renewables, and Others.\n\n","uri":"https:\/\/www.eia.gov\/opendata\/","access_type":"Published with the package","license_uri":"https:\/\/www.eia.gov\/about\/copyrights_reuse.php","license":"Public domain"},{"name":"International Disasters Database","note":"Source: EM-DAT, CRED \/ UCLouvain.\nFile name: emdat.xlsx. \nLocated at: Chapter 3\\1-data\\raw\\other. \n To download the file, go to the link provided and register. Once registered, select \u201cAccess data\u201d. Under Classification choose \u201cClimatological\u201d, \u201cHydrological\u201d, \u201cGeophysical\u201d, and \u201cMeteorological\u201d under \u201cNatural\u201d. Toggle \u201cInclude Historical events (pre-2000).\u201d, and select time period from 1970 to 2024. Select all available regions. Download the data, then rename the file to emdat.xlsx and save it in the designated folder.\n","license_uri":"https:\/\/doc.emdat.be\/docs\/legal\/terms-of-use\/","access_type":"Public, but does not allow republication","uri":"https:\/\/public.emdat.be\/data"},{"access_type":"Published with the package","license_uri":"https:\/\/www.fao.org\/contact-us\/terms\/db-terms-of-use\/en\/","uri":"https:\/\/www.fao.org\/faostat\/en\/#data\/SDGB","note":"Source: Food and Agriculture Organization of the United Nations. \nFile name: FAOSTAT_data_en_8-5-2024.xlsx. \nLocated at:  Chapter 3\\1-data\\raw\\other. \nIndicators consulted: Prevalence of undernourishment, Prevalence of moderate or severe food insecurity in the total population, and Percentage of children under 5 years of age who are stunted.","license":"Creative Commons Attribution-4.0 International licence (CC BY 4.0)","name":"FAOSTAT - SDG Indicators"},{"name":"The Open Data Inventory scoring","note":"Source: Open Data Watch.\nFile name: ODIN23.xlsx.\nLocated at: Chapter 4\\1-data\\raw.\nYear consulted: 2022, indicators consulted: Data categories, Indicator coverage and disaggregation, Data available last 5 years, Data available last 10 years, First administrative level, Second administrative level, Coverage subscore, Machine readable, Non-proprietary, Download options, Metadata available, Terms of use, Openness subscore, Overall score.\n","uri":"https:\/\/odin.opendatawatch.com\/","access_type":"Published with the package","license":"Creative Commons Attribution-4.0 International licence (CC BY 4.0)","license_uri":"https:\/\/odin.opendatawatch.com\/"},{"name":"World Inequality Database","access_type":"Published with the package","note":"Source: World Inequality Database. \nFile name: WID_Data_10072024-172952.xlsx.\nLocated at: Chapter 4\\1-data\\raw. Downloaded on 10-07-2024. \nThe file used is included in the package. For a comprehensive list of all the indicators and countries downloaded please see the file WID_Data_10072024-172952.xlsx sheet \"Metatada\". \n\n","uri":"https:\/\/wid.world\/data\/"},{"name":"Small States and Small States Forum Members","note":"Source: World Bank. \nFile name: FY25 small states etc.xlsx.\nLocated at: Chapter 3\/1-data\/raw\/classifications, and Chapter 4\/1-data\/raw.\n","access_type":"Published with the package","uri":"https:\/\/www.worldbank.org\/en\/news\/statement\/2024\/06\/26\/small-states-and-small-states-forum-members","license_uri":"https:\/\/www.worldbank.org\/en\/about\/legal\/terms-of-use-for-datasets","license":"Creative Commons Attribution 4.0 International License (CC BY 4.0)"},{"note":"Source: author's compilation based on data from PIP, growth projections in the Global Economic Prospects (June 2024) complemented by the Macro and Poverty Outlooks (April 2024) and World Economic Outlook (April 2024).\nFile names: FGTcountry_1990_2050_3pr24.dta, FGTglobal_1990_2050_3pr24.dta, FGTregion_1990_2050_3pr24.dta\nLocated at: Located at: Summary\/1-data\/raw\/poverty, and at 1-data\/raw\/forecasts for Overview, and Chapter 1. The source data for all datasets consists of World Bank survey microdata, which is not publicly available. The code used to create this files is available in the supplementary folder titled 'fgt_1990-2050.' Please see more details in the README file.","access_type":"Published with the package","name":"Poverty Projections by Growth Scenarios"},{"name":"Shared Prosperity: Monitoring Inclusive Growth","access_type":"Published with the package","note":"Source: Created by the authors. \nFile name: b40_growth_3PR.dta.\nLocated at: Chapter 2\/1-data\/processed. The source data for all datasets consists of World Bank survey microdata, which is not publicly available. The code used to create this files is available in the supplementary folder file B40_Estimates_3PR.do. Please see more details in the README file."},{"name":"Estimates of Exposure, Vulnerability and Risk from Climate-Related Hazards for 2010 and 2019","note":"Source: Doan,Miki Khanh; Hill,Ruth; Hallegatte,Stephane; Corral Rodas,Paul Andres; Brunckhorst,Ben James; Nguyen,Minh; Freije-Rodriguez,Samuel; Naikal,Esther G.\nCounting People Exposed to, Vulnerable to, or at High Risk From Climate Shocks \u2014 A Methodology (English).\nFile names: pov_vul6a_climate_data_2010, pov_vul6a_climate_data_2019.\nLocated at: 1-data\/raw\/vulnerability for Overview and Chapter 3.\nThe authors of the paper linked below provided the data directly to the authors, there is no standard channel to get this data, however, the processed data needed to run this package is included, and the raw version of the data will be included in the internal version of the package. ","access_type":"Restricted and not included in the package, but intermediate data is provided","uri":"https:\/\/documents.worldbank.org\/en\/publication\/documents-reports\/documentdetail\/099602511292336760\/idu07639ca570f3cb048db09bf60fc2cc82df22d"},{"name":"Global Monitoring Database ","note":"Source: World Bank.\nFile names: mpm_country_level_estimates.dta,  \nLocated at: 1-data\/raw\/other for Overview and Chapter 1.\n\nThe Global Monitoring Database (GMD) contains micro-level survey data, with access restricted to World Bank staff using Bank-managed computers. External access is not available. While most surveys in the GMD are accessible internally, some require special access requests. The processed data needed to run this package is included, and the raw version of the data will be provided in the internal version of the package. Additionally, the code file 'WLD_2024_ALL_v01_A_GMI_MPM.do' in the supplementary code folder, prepared by the D4G team, is included for external readability. This file is simplified and downloads data for one country; however, to fully replicate the analysis, users would need to download data for all countries. The codes calling the data (\u201cch1_1c_otherdata\u201d and \u201coverview_1h_mpm_revised.do\u201d) have been revised to call the data directly from datalibweb.","access_type":"Restricted and not included in the package, but intermediate data is provided."},{"name":"Global distribution of welfare 2022","access_type":"Included in the package","note":"Source: Global distribution of welfare 2022 [dataset]. World Bank Group.\nFile names: global_profile_lineup_2022_country_level.dta.\nLocated at: 1-data\/raw\/other for Overview and Chapter 1. ","uri":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0066601\/global_distribution_of_welfare_2022","license_uri":"https:\/\/datacatalog.worldbank.org\/int\/public-licenses?fragment=cc","license":"Creative Commons Attribution 4.0 (CC-BY 4.0)"}],"data_statement":"Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file. The package in this repository can be executed entirely using the intermediate data provided.\n"},"tags":[{"tag":"DOI"},{"tag":"Limited-access data"},{"tag":"Open code"}],"schematype":"script"}