{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DIME","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"version":"1","prod_date":"2024-04-05"},"project_desc":{"authoring_entity":[{"name":"Mar\u00eda E. D\u00e1valos","affiliation":"World Bank","email":"mdavalos@worldbank.org"},{"name":"Diana Londo\u00f1o","email":"dlondonoaguirre@worldbank.org","affiliation":"World Bank"},{"name":"Daniel Medina-Gaspar","email":"dmedin17@eafit.edu.co","affiliation":"Universidad EAFIT"}],"output":[{"type":"Working Paper","description":"Policy Research Working Paper (PRWP) 10605","uri":"http:\/\/documents.worldbank.org\/curated\/en\/099304511142330780\/IDU006568b4105d44041980b647042f7d72e519f","doi":"https:\/\/doi.org\/10.1596\/1813-9450-10605","title":"How Have Gender Gaps in the Colombian Labor Market Changed during the Economic Recovery?","authors":"Mar\u00eda E. D\u00e1valos, Diana Londo\u00f1o, and Daniel Medina-Gaspar"}],"datasets":[{"name":"Gran Encuesta Integrada de Hogares (GEIH)","uri":"https:\/\/microdatos.dane.gov.co\/index.php\/catalog\/MERCLAB-Microdatos","note":"Source: Departamento Administrativo Nacional de Estad\u00edstica: www.dane.gov.co\nLocated at: Data\/GEIH_2015_2021.dta. \nThe authors have provided a consolidated dataset that merges and appends the main dataset derived from the GEIH (Gran Encuesta Integrada de Hogares) for 2015 through 2021. While the package includes scripts for data cleaning and preparation directly for individual years, the scripts are currently set up to operate on this merged and appended dataset. Full instructions to download the individual years are provided in the README file. ","access_type":"Published with package"},{"note":"Source: Banco de la Rep\u00fablica through the Departamento Administrativo Nacional de Estad\u00edstica: www.dane.gov.co\nLocated at: Data\/monthly_cpi.dta","access_type":"Published with package","name":"Consumer Price Index","uri":"https:\/\/www.banrep.gov.co\/es\/estadisticas\/indice-precios-consumidor-ipc"},{"name":"Vacancies data","note":"Source: Public Employment Service\nLocated at: Data\/Vacancies.dta","access_type":"Published with package","uri":"https:\/\/www.serviciodeempleo.gov.co\/dataempleo-spe\/demanda-laboral\/2022\/prueba"},{"note":"Source: Colombian Ministry of Information and Communications Technology\nLocated at: Data\/Names_code_areas_col.dta","name":"Colombia names and codes of departments and municipalities","access_type":"Published with package","uri":"https:\/\/www.datos.gov.co\/Mapas-Nacionales\/Departamentos-y-municipios-de-Colombia\/xdk5-pm3f\/about_data"}],"software":[{"name":"Stata","version":"18"}],"scripts":[{"file_name":"RR_COL_2024_89.zip","zip_package":"RR_COL_2024_89.zip","title":"Reproducibility package (data and code) for How Have Gender Gaps in the Colombian Labor Market Changed during the Economic Recovery?","date":"2024-04","description":"The code in this folder generates the tables and figures in the paper \"How Have Gender Gaps in the Colombian Labor Market Changed during the Economic Recovery?\" by Mar\u00eda E. D\u00e1valos, Diana Londo\u00f1o, and Daniel Medina-Gaspar","dependencies":"All dependencies are stored in the ado folder contained in the reproducibility package.","instructions":"See README in reproducibility package.","notes":"Computational reproducibility verified by Development Impact (DIME) Analytics team, World Bank."}],"title_statement":{"title":"Reproducibility package for How Have Gender Gaps in the Colombian Labor Market Changed during the Economic Recovery?","idno":"RR_COL_2024_89"},"reproducibility_status":{"type":"Data: All data sources are publicly available but not all are included in the package . For more details, please refer to the README file; Code: All code files (from cleaning to analysis) are included in the package; Reproducibility verification: Reviewers had access to exactly the same materials included in the public package"},"production_date":"2024-04","abstract":"This paper analyzes gender gaps in the Colombian labor market, with a particular focus on the impact of the COVID-19 shock and the economic recovery. Using household survey and administrative data, the analysis finds significant and persistent gender gaps in favor of men in terms of participation, unemployment, and income. These gaps are heterogeneous at the regional level in Colombia, and are exacerbated among women with children, particularly young children, and those with low levels of education. The COVID-19 pandemic widened these gaps, including from higher female concentration in the most affected sectors and potentially associated with the disproportionate burden of care on women. Moreover, using decomposition techniques, the paper finds that the decline observed in the hourly gender wage gap results from two offsetting effects: the explained gap, which favors women due to their endowments, primarily education level, and the unexplained gap, which favors men and may be associated with discriminatory biases. Moreover, the gender wage gap widens significantly when considering monthly income, showing variations in hours worked between men and women. Given the poorer labor market outcomes among women with children, policies toward the reduction and redistribution of care work within households could contribute to increase women\u2019s opportunities in the labor market. ","geographic_units":[{"name":"Colombia","code":"COL","type":"Country"}],"keywords":[{"name":"Gender wage gap"},{"name":"COVID-19"},{"name":"gap decomposition"},{"name":"female labor force participation"},{"name":"care policy"}],"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","name":"Labor Force and Employment, Size, and Structure","id":"J21","parent_id":"J2"},{"vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","name":"Wage Level and Structure \u2022 Wage Differentials","id":"J31","parent_id":"J3"}],"language":[{"name":"English","code":"EN"}],"data_statement":"All datasets utilized in this study are publicly accessible, but the individual yearly data is not included in the package. The authors have provided a consolidated dataset that merges and appends the main dataset derived from the GEIH (Gran Encuesta Integrada de Hogares) for 2015 through 2021. While the package includes scripts for data cleaning and preparation directly for individual years, the scripts are currently set up to operate on the merged and appended dataset. For comprehensive guidance on accessing and utilizing these resources, please refer to the individual data entries and the README file included in this package. ","repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"},{"type":"Github","uri":"https:\/\/github.com\/dsmedinag\/PRWP_10605","name":"PRWP_10605"}],"technology_environment":"Paper exhibits were reproduced in a computer with the following specifications:\n\u2022 OS: Windows 10 Enterprise, version 21H2\n\u2022 Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 16 Core(s)\n\u2022 Memory available: 109 GB\n\u2022 Software version: Stata 17","technology_requirements":"~5 hours runtime","reproduction_instructions":"To successfully replicate this package, new users must run the Main do file after updating the directory path. The main do file is located at Do_files\/1_run_dofiles ","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":"Maria E. Davalos","affiliation":"World Bank","email":"mdavalos@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}