{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2024-03-01","version":"1"},"project_desc":{"authoring_entity":[{"name":"Markus Goldstein","affiliation":"World Bank","email":"mgoldstein@worldbank.org"},{"name":"Paula Gonzalez","affiliation":"World Bank and The Graduate Institute, Geneva","email":"pgonzalezmartine@worldbank.org"},{"name":"Talip Kilic","affiliation":"World Bank","email":"tkilic@worldbank.org"},{"name":"Sreelakshmi Papineni","email":"spapineni@worldbank.org","affiliation":"World Bank"},{"name":"Philip Wollburg","affiliation":"World Bank","email":"pwollburg@worldbank.org"}],"output":[{"type":"Working Paper","title":"Breadwinners and Caregivers: Examining the Global Relationship between Gender Norms and Economic Behavior","authors":"Markus Goldstein, Paula Gonzalez, Talip Kilic, Sreelakshmi Papineni, Philip Wollburg","description":"Policy Research Working Paper (PRWP)","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099821402012437374\/IDU1bf06cd191699f1462f18236168ed5e5295bf","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10692"}],"datasets":[{"name":"Facebook\u2019s Survey on Gender Equality at Home Report","uri":"https:\/\/portal.datapartnership.org\/submitproposal, https:\/\/portal.datapartnership.org\/datapartner\/12","access_type":"Licensed and not included in the package","note":"This paper utilizes data from a collaboration between the World Bank and Facebook Data for Good, requiring prior approval from Meta for individual-level dataset access. This approval process is facilitated through the World Bank\u2019s Data Development Partnership (DDP) under a license agreement specific to each project. World Bank colleagues wishing to use this data must submit a request via the Partnership portal, which directly notifies Meta for approval. Upon Meta's consent, the DDP team will provide the data to the Bank staff. This license is only available to World Bank staff, and external parties cannot be granted access. Bank staff should submit requests using the following link. After getting access to the data you should place it in the folder Data\/Raw, save it, and run the code Dofiles\/Cleaning\/Part1_MasterDataCleaning. This will create the file Data\/Intermediate\/GenderAtHome_DataClean.dta which is the base for the analysis. "},{"name":" World Values Survey Time Series ","uri":"https:\/\/www.worldvaluessurvey.org\/WVSDocumentationWVL.jsp","note":"Source: World Values Survey. To access the data the replicator should follow the link below, select the  zip file: WVS TimeSeries 1981 2020 stata v1 6, and save the .dta in the folder located at Data\/Raw and named WVS_Longitudinal_1981_2020.dta ","access_type":"Public but does not allow republication and therefore is not included in the package."},{"name":"Gallup Data","note":"Source: Bursztyn, et all 2023. Data can be found in appendix A12, A14, A16, A18, and A20 of the paper in the link below. The dataset in the package includes the previously mentioned tables compiled into a single data frame located at Data\/Intermediate\/OtherDatasets\/GallupDataBR.dta","uri":"https:\/\/www.nber.org\/system\/files\/working_papers\/w31049\/w31049.pdf","access_type":"Published with the package. "},{"name":"World Development Indicators","uri":"https:\/\/databank.worldbank.org\/source\/world-development-indicators","access_type":"Published with the package. ","note":"Source: World Bank. \nIndicators used GDP and labor force participation for 2019 and 2020. The file is located at Data\/Intermediate\/OtherDatasets\/WBI_DataClean.dta \nThe full list of indicators used are included in the README file. "},{"name":"World Shape Coordinates","uri":"https:\/\/datacatalog.worldbank.org\/search\/dataset\/0038272","note":"Source: World Bank. \nLocated at: Data\/Intermediate\/OtherDatasets\/world_shape.dta and Data\/Intermediate\/OtherDatasets\/world_shape_coord.dta","access_type":"Published with the package. "}],"software":[{"name":"Stata","version":"18"}],"scripts":[{"description":"The code in this folder generates the tables and figures in the paper \"Breadwinners and Caregivers: Examining the Global Relationship between Gender Norms and Economic Behavior\" by Markus Goldstein, Paula Gonzalez, Talip Kilic, Sreelakshmi Papineni, Philip Wollburg","instructions":"See README in reproducibility package.","dependencies":"All dependencies are stored in the ado folder. ","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank.","title":"Reproducibility package (partial data and code) for Breadwinners and Caregivers: Examining the Global Relationship between Gender Norms and Economic Behavior","file_name":"RR_WLD_2024_86-v02.zip","zip_package":"RR_WLD_2024_86-v02.zip","date":"2024-03"}],"title_statement":{"idno":"RR_WLD_2024_86-v02","title":"Reproducibility package for Breadwinners and Caregivers: Examining the Global Relationship between Gender Norms and Economic Behavior"},"reproducibility_status":{"type":"Data: Some data is confidential (details provided in readme); Code: All code files (from cleaning to analysis) are included in the package; Outputs: All outputs are generated by code included in the reproducibility package; Reproducibility verification: The review process used data provided directly by the authors to conduct the reproducibility verification, and this is not included in the package "},"acknowledgment_statement":"We thank Rachael Pierotti, S Anukriti, Ha Nguyen and Lili Mottaghi for their helpful comments and guidance. This paper uses data from the Gender Equality at Home surveys - a collaborative effort between Facebook Data For Good, the World Bank and other development partners. We thank Samhir Vasdev, Safaa Amer, Bronwen Raff and Anna Lerner at Facebook Data For Good. We gratefully acknowledge the financial support from the World Bank Group\u2019s Umbrella Facility for Gender Equality (UFGE) and the Office of the Chief Economist for the Middle East and North Africa (MNACE) under the regional Labor and Gender Research Programs. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.","production_date":"2024-03","abstract":"Gender norms are often emphasized to help explain gender gaps in the labor market. This paper examines global patterns of gender attitudes and norms toward the stereotypical gender roles of the male breadwinner and female caregiver, and broad support for gender equality in opportunities, and studies their relationship with economic behavior. Using data collected via Facebook from 150,000 individuals across 111 countries the paper explores how gender beliefs and norms are related to labor supply, household production, and intrahousehold decision-making power within a country. The paper provides descriptive evidence that the more gender equitable or counter-stereotypical are beliefs and norms, the more likely women are to work, the more time men spend on household chores, and the higher the likelihood of joint decision-making among couples. The findings suggest an underestimation of the support for gender equality globally and the extent of underestimation varies by gender and region. The paper concludes with a discussion of potential entry points for policy to help address gender norms.","geographic_units":[{"name":"World","code":"WLD","type":"Region"}],"topics":[{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","id":"J16","name":"Economics of Gender \u2022 Non-labor Discrimination","parent_id":"J1"},{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","id":"J20","name":"General","parent_id":"J2"},{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","id":"O12","name":"Microeconomic Analyses of Economic Development","parent_id":"O1"}],"language":[{"name":"English","code":"EN"}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"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":"Creative Commons Attribution 4.0 International (CC BY 4.0)","uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"contacts":[{"name":"Paula Gonzalez","affiliation":"World Bank","email":"pgonzalezmartine@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"data_statement":"Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.","technology_environment":"The code was reproduced on a computer with the following specifications:\n\u2013 OS: Windows 11 Enterprise\n\u2013 Processor: Intel(R) Core(TM) i5-1145G7 CPU @ 2.60GHz\n\u2013 Memory available: 15.7 GB\n\u2013 Software version: Stata version 18","technology_requirements":"~40 minutes runtime","reproduction_instructions":"To run the script, after securing access to the data, new users need to change the directory of the Main do file and run the code."},"tags":[{"tag":"DOI"}],"schematype":"script"}