{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DECDI","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2026-02-11","version":"1"},"project_desc":{"authoring_entity":[{"name":"Abhilasha Sahay","affiliation":"World Bank","email":"asahay@worldbank.org"},{"name":"Maria Emilia Cucagna","affiliation":"World Bank","email":"mcucagna@worldbank.org"},{"name":"Mansi Sharma","affiliation":"Meta","email":"mansi.sharma@stonybrook.edu"},{"name":"Nono Akpedje Ayivi Guedehoussou","affiliation":"World Bank","email":"nonoayivi@worldbank.org"}],"title_statement":{"title":"Reproducibility package for Family Matters: Social Networks And Women\u2019s Economic Empowerment","idno":"RR_AFR_2026_552"},"data_statement":"All data is temporarily embargoed and has not been included in the reproducibility package.","software":[{"name":"Stata","version":"19.5 MP"}],"scripts":[{"title":"Reproducibility package for Family Matters: Social Networks And Women\u2019s Economic Empowerment","date":"2026-02","notes":"Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.","instructions":"See README in reproducibility package.","file_name":"RR_AFR_2026_552","zip_package":"RR_AFR_2026_552.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":"2026-02-11","abstract":"Social networks are a critical driver of women's economic empowerment, particularly in contexts with mobility and normative constraints. Using baseline data from an impact evaluation in Nigeria, this study examines the associations between social capital and labor market outcomes among vulnerable women, including those affected by HIV, survivors of gender-based violence, and caregivers of children living with HIV or exposed to sexual violence. We find that women with larger networks\u2014specifically, having a family member in any occupation\u2014are associated with 0.776 higher log-odds of paid work, 2 additional weekly work hours, and USD 2 higher weekly earnings. Occupational diversity and prestige within family networks are also positively associated with improved labor outcomes, while weak ties (with friends and acquaintances) show limited effects. These findings, which remain consistent across LASSO and post-LASSO analyses, highlight the importance of strong, family-based occupational networks and support targeted investments in women's social capital to promote economic empowerment.","geographic_units":[{"name":"Africa","code":"AFR"}],"keywords":[{"name":"Social Capital"},{"name":"Social Networks"},{"name":"Women's Economic Empowerment"},{"name":"Labor Market Outcomes"},{"name":"Nigeria"},{"name":"Gender"},{"name":"Vulnerable Populations"}],"topics":[{"id":"J15","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Economics of Minorities, Races, Indigenous Peoples, and Immigrants \u2022 Non-labor Discrimination","parent_id":"J1"},{"id":" J16","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Economics of Gender \u2022 Non-labor Discrimination","parent_id":"J1"},{"id":" J21","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Labor Force and Employment, Size, and Structure","parent_id":"J2"},{"id":" Z13","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Economic Sociology \u2022 Economic Anthropology \u2022 Language \u2022 Social and Economic Stratification ","parent_id":"Z1"},{"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":" I15","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Health and Economic Development","parent_id":"I1"}],"output":[{"type":"Working Paper","description":"Policy Research Working Papers (PRWP)","title":"Family Matters: Social Networks And Women\u2019s Economic Empowerment"}],"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":"Nono Akpedje Ayivi Guedehoussou","affiliation":"World Bank","email":"nonoayivi@worldbank.org"},{"email":" asahay@worldbank.org","name":"Abhilasha Sahay","affiliation":"World Bank"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"datasets":[{"name":"Vocational Training Program Baseline Survey","note":"There are 2 data files used in the study: PHI_IE_Cleaned_PII_community_clean.dta and demographics_hh_clean_indicators.dta. Later corresponds to the household module of the survey data set. Both data sets are temporarily embargoed by the authors and not included in the reproducibility package.","citation":"World Bank. (n.d.) Vocational Training Program Baseline Survey. World Bank. Unpublished data.","access_type":"Data is forthcoming in the World Bank Microdata Library.\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) Core(TM) Ultra 7 165U @ 2.60GHz\n\u2022 Memory available: 20 GB","technology_requirements":"~10 minutes run time. ","reproduction_instructions":"To reproduce the findings in this study, please follow the steps below:\n1. Obtain the forthcoming data sets and placed them in `\/Data\/input_data`. \n2. Change the main directory to your local setup in `0. Master File.do`.\n3. Run `0. Master File`."},"tags":[{"tag":"DOI"},{"tag":"Open Code"},{"tag":"Open Data"}],"schematype":"script"}