{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DECDI","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2026-06-08","version":"1"},"project_desc":{"authoring_entity":[{"name":"Katherine Helen Anne Vyborny","affiliation":"World Bank","email":"kvyborny@worldbank.org"},{"name":"Pulkit Aggarwal","affiliation":"World Bank","email":"paggarwal1@worldbank.org"},{"name":"Kendal Marie Swanson","affiliation":"World Bank","email":"kswanson@worldbank.org"},{"name":"Viet Tuan Tran","affiliation":"World Bank","email":"vtran8@worldbank.org"}],"title_statement":{"title":"Reproducibility package for Women\u2019s Economic Empowerment In Bangladesh: An Evidence-Guided Toolkit For More Inclusive Policies","idno":"FR_BGD_2026_680"},"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":"Stata","version":"19.5"}],"scripts":[{"title":"Reproducibility package for Women\u2019s Economic Empowerment In Bangladesh: An Evidence-Guided Toolkit For More Inclusive Policies","date":"2026-06","notes":"Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.","instructions":"See README in reproducibility package.","file_name":"FR_BGD_2026_680","zip_package":"FR_BGD_2026_680.zip","dependencies":"Stata dependencies are listed in the ado folder."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"production_date":"2026-06-08","abstract":"This report provides an examination of gender disparities in economic empowerment in Bangladesh. It aims to shed light on the current state of gender inequality by analyzing rich microdata from multiple data sources, thereby fostering insights into women\u2019s labor market outcomes (such as employment, earnings, hours worked) and factors affecting women\u2019s economic empowerment (such as safety, mobility, asset ownership, digital inclusion, and financial inclusion). Based on the descriptive analysis of gender gaps, the report also identifies key constraints on women\u2019s economic empowerment in Bangladesh and presents an evidence-guided policy toolkit to inform policies that promote gender equity and support inclusive, sustainable development in Bangladesh.","geographic_units":[{"name":"Bangladesh","code":"BGD"}],"keywords":[{"name":"Economic Empowerment"},{"name":"Jobs"},{"name":"Women"},{"name":"Wee"}],"output":[{"description":" World Bank Reports & Flagships","title":"Women\u2019s Economic Empowerment In Bangladesh: An Evidence-Guided Toolkit For More Inclusive Policies","doi":"https:\/\/doi.org\/10.1596\/43769"}],"language":[{"name":"English","code":"EN"}],"technology_requirements":"Run time: 2 hours","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":"Katherine Helen Anne Vyborny","affiliation":"World Bank","email":"kvyborny@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"datasets":[{"access_type":"Data access was granted directly to the study authors. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.","name":"Labor Force Survey (LFS) 2005, 2010, 2013, 2015, 2016, 2022","note":"Source: World Bank\nData was obtained from the World Bank Datalibweb platform (datalibweb2.worldbank.org\/home) using the Stata package datalibweb. Access to data is restricted to World Bank staff using Bank-managed computers and is not available to external users. ","license_uri":"https:\/\/github.com\/worldbank\/datalibweb","uri":"https:\/\/datalibweb2.worldbank.org\/home","citation":"World Bank. Labor Force Survey (LFS) 2005, 2010, 2013, 2015, 2016, 2022 [dataset].https:\/\/datalibweb2.worldbank.org\/home"},{"name":"Household Income and Expenditure Survey (HIES) 2022","note":"Source: World Bank\nData was obtained from the World Bank Datalibweb platform (datalibweb2.worldbank.org\/home) using the Stata package datalibweb. Access to data is restricted to World Bank staff using Bank-managed computers and is not available to external users. ","access_type":"Data access was granted directly to the study authors. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.","license_uri":"https:\/\/github.com\/worldbank\/datalibweb","uri":"https:\/\/datalibweb2.worldbank.org\/home","citation":"World Bank. Household Income and Expenditure Survey (HIES) 2022 [dataset].https:\/\/datalibweb2.worldbank.org\/home"},{"name":"Bangladesh Integrated Household Survey (BIHS) 2018","note":"Source: International Food Policy Research Institute (IFPRI)","access_type":"Data is publicly available and included in the reproducibility package.","license":"Creative Commons Attribution 4.0 International License","license_uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/deed.en","citation":"International Food Policy Research Institute (IFPRI) \"Bangladesh Integrated Household Survey (BIHS) 2018\u20132019\" [dataset]. Accessed 2024. https:\/\/dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/NXKLZJ","uri":"https:\/\/dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/NXKLZJ"},{"uri":"https:\/\/data.unwomen.org\/publications\/bangladesh-time-use-survey-2021","license":"Custom BBS\/UN Women copyright","name":"Time Use Survey (TUS) 2021","note":"Source: Bangladesh Bureau of Statistics (BBS) and UN Women Bangladesh","access_type":"Data access was granted directly to the study authors. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.","citation":"Bangladesh Bureau of Statistics (BBS) and UN Women Bangladesh \"Time Use Survey (TUS) 2021\" [dataset]. Accessed 2024. https:\/\/data.unwomen.org\/publications\/bangladesh-time-use-survey-2021"},{"name":"Global Financial Inclusion (Global Findex) Database 2017","note":"Source: World Bank","access_type":"Data access requires human approval and is not included in the reproducibility package.","license_uri":"https:\/\/microdata.worldbank.org\/terms-of-use#public_use","license":"Public Use Files (PUFs)","citation":"Development Research Group, Finance and Private Sector Development Unit (World Bank). (2018). Global Financial Inclusion (Global Findex) Database 2017 [Dataset]. World Bank, Development Data Group. https:\/\/doi.org\/10.48529\/D3CF-FJ47","uri":"https:\/\/doi.org\/10.48529\/d3cf-fj47"},{"name":"Global Financial Inclusion (Global Findex) Database 2021","note":"Source: World Bank","access_type":"Data access requires human approval and is not included in the reproducibility package.","license_uri":"https:\/\/microdata.worldbank.org\/terms-of-use#public_use","license":"Public Use Files (PUFs)","citation":"Development Research Group, Finance and Private Sector Development Unit. (2022). Global Financial Inclusion (Global Findex) Database 2021 [Dataset]. World Bank, Development Data Group. https:\/\/doi.org\/10.48529\/JQ97-AJ70","uri":"https:\/\/doi.org\/10.48529\/JQ97-AJ70"},{"name":"Bangladesh Standard Demographic and Health Survey (DHS) 2022","note":"Source: United States Agency for International Development (USAID)","uri":"https:\/\/dhsprogram.com\/data\/dataset\/Bangladesh_Standard-DHS_2022.cfm?flag=1","license_uri":"https:\/\/dhsprogram.com\/data\/Terms-of-Use.cfm","license":"Custom license","access_type":"Data is publicly available but does not allow redistribution and is not included in the reproducibility package.","citation":"United States Agency for International Development (USAID) \"Bangladesh Standard Demographic and Health Survey (DHS) 2022\" [dataset]. Accessed 2024. https:\/\/dhsprogram.com\/data\/dataset\/Bangladesh_Standard-DHS_2022.cfm?flag=1"},{"name":"Bangladesh Multiple Indicator Cluster Survey (MICS) 2019","note":"Source: UNICEF","uri":"https:\/\/mics.unicef.org\/surveys","access_type":"Data is publicly available but does not allow redistribution and is not included in the reproducibility package.","license_uri":"https:\/\/www.unicef.org\/legal#terms-of-use","citation":"UNICEF \"Bangladesh Multiple Indicator Cluster Survey (MICS) 2019\" [dataset]. Accessed 2024. https:\/\/mics.unicef.org\/surveys","license":"The UNICEF Name and Emblem"},{"name":"Bangladesh Individual Consumption Study (BICS)","note":"Source: World Bank\nUsers interested in accessing the data may request access by contacting SAR GIL at sargenderlab@worldbank.org.","access_type":"Data access was granted directly to the study authors by the data owners\/managers. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.","citation":"World Bank \"Bangladesh Individual Consumption Study (BICS\" [dataset]. Accessed 2024.","license":"Data is forthcoming in the World Bank Microdata Library","uri":"Forthcoming at https:\/\/microdata.worldbank.org\/"},{"name":"Bangladesh World Values Survey (WVS) Cross-National Wave 7 (2017-2022)","access_type":"Data is publicly available but does not allow redistribution and is not included in the reproducibility package.","note":"Source: World Values Survey (WVS) Association ","license_uri":"https:\/\/www.worldvaluessurvey.org\/WVSDocumentationWV7.jsp","license":"WVS Conditions of Use","uri":"https:\/\/www.worldvaluessurvey.org\/WVSDocumentationWV7.jsp","citation":"World Values Survey (WVS) Association  \"Bangladesh World Values Survey (WVS) Cross-National Wave 7 (2017-2022)\" [dataset]. Accessed 2024. https:\/\/www.worldvaluessurvey.org\/WVSDocumentationWV7.jsp"},{"name":"Gender Social Norms Index (GSNI) 2023","note":"Source: United Nations Development Programme (UNDP)","license":"Creative Commons Attribution 3.0 IGO","license_uri":"https:\/\/hdr.undp.org\/terms-use","access_type":"Data is publicly available and included in the reproducibility package.","uri":"https:\/\/hdr.undp.org\/sites\/default\/files\/publications\/additional-files\/2023-06\/GSNI2023_AnnexTables2.xlsx","citation":"United Nations Development Programme (UNDP) \"Gender Social Norms Index (GSNI) 2023\" [dataset]. Accessed 2024. https:\/\/hdr.undp.org\/sites\/default\/files\/publications\/additional-files\/2023-06\/GSNI2023_AnnexTables2.xlsx"},{"name":"Dhaka Low Income Area Gender, Inclusion, and Poverty Survey 2018","citation":"The World Bank Group. (2020). Dhaka Low Income Area Gender, Inclusion, and Poverty Survey 2018 [Dataset]. World Bank, Development Data Group. https:\/\/doi.org\/10.48529\/GARE-AZ26","uri":"https:\/\/doi.org\/10.48529\/GARE-AZ26","license_uri":"https:\/\/microdata.worldbank.org\/terms-of-use#public_use ","license":"Public Use Files (PUFs)","access_type":"Data access requires human approval and is not included in the reproducibility package.","note":"Source: World Bank"},{"citation":"World Bank. 2025. \"World Development Indicators\" [dataset]. Accessed 2024. https:\/\/databank.worldbank.org\/source\/world-development-indicators","name":"World Development Indicators","note":"Source: World Bank","access_type":"Data is publicly available and included in the reproducibility package.","license_uri":"https:\/\/www.worldbank.org\/en\/about\/legal\/terms-of-use-for-datasets","uri":"https:\/\/databank.worldbank.org\/source\/world-development-indicators"},{"name":"Mapped in Bangladesh (MiB)","uri":"https:\/\/mappedinbangladesh.org\/","access_type":"Data access was granted directly to the study authors by the data owners. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package","note":"Source: The Centre for Entrepreneurship Development (CED)","citation":" The Centre for Entrepreneurship Development (CED). \"Mapped in Bangladesh (MiB)\" [dataset]. Accessed 2023. https:\/\/mappedinbangladesh.org\/"},{"name":"Expert Survey on Policy Priorities for Women's Economic Empowerment 2025","note":"Source: World Bank","license_uri":"https:\/\/microdata.worldbank.org\/terms-of-use#public_use  ","license":"Public Use Files (PUFs)","access_type":"Data access requires human approval and is not included in the reproducibility package.","citation":"World Bank Group. (2025). Expert Survey on Policy Priorities for Women's Economic Empowerment 2025 [Dataset]. World Bank, Development Data Group. https:\/\/doi.org\/10.48529\/H3EA-HM15","uri":"https:\/\/doi.org\/10.48529\/H3EA-HM15"}],"reproduction_instructions":"To reproduce the findings in this paper, a replicator must:\n1. **Secure Access to Data:** Access the datasets not included in the package. See subsection Datasets for more details.\n2. **Download and Place Data:** Once the data is accessed, users should place it in the appropriate folder.\n3. **Run the Package:** After placing the data in the folder, open `master.do`, update the working directory in line 35 and run the code. \n\nSince all the data is not included, the package includes the results produced by replicators. These files can be used to review the results presented in the paper. \n","technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 11 Enterprise\n\u2022 Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ 2.80 GHz (4 processors)\n\u2022 Memory available: 32.0 GB"},"datacite":{"creators":[{"givenName":"Katherine Helen Anne","familyName":"Vyborny","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]},{"givenName":"Pulkit","familyName":"Aggarwal","nameType":"Personal","affiliation":[{"name":"World Bank","affiliationIdentifier":"https:\/\/ror.org\/00ae7jd04","affiliationIdentifierScheme":"ROR","schemeUri":"https:\/\/ror.org"}]}],"titles":[{"lang":"en","title":"Reproducibility package for Women\u2019s Economic Empowerment In Bangladesh: An Evidence-Guided Toolkit For More Inclusive Policies"},{"title":"FR_BGD_2026_680","titleType":"Other"}],"publisher":"World Bank","publicationYear":"2026","types":{"resourceType":"Reproducibility package","resourceTypeGeneral":"Other"},"url":"https:\/\/reproducibility.worldbank.org\/index.php\/catalog\/study\/FR_BGD_2026_680","language":"en"},"tags":[{"tag":"DOI"},{"tag":"Open Code"},{"tag":"Restricted Data"}],"schematype":"script"}