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’s opportunities in the labor market.
Repository name | Type | URI |
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Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org | |
PRWP_10605 | Github | https://github.com/dsmedinag/PRWP_10605 |
Paper exhibits were reproduced in a computer with the following specifications:
• OS: Windows 10 Enterprise, version 21H2
• Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 16 Core(s)
• Memory available: 109 GB
• Software version: Stata 17
~5 hours runtime
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
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.
Author | Affiliation | |
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María E. Dávalos | World Bank | mdavalos@worldbank.org |
Diana Londoño | World Bank | dlondonoaguirre@worldbank.org |
Daniel Medina-Gaspar | Universidad EAFIT | dmedin17@eafit.edu.co |
2024-04
Location | Code |
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Colombia | COL |
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.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Maria E. Davalos | World Bank | mdavalos@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2024-04-05
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