Analysis of the Formal/Informal Wage Inequalities in Colombia: A Semiparametric Approach
Informality is a common problem in Colombia, with almost 50 percent of the workers employed in this sector. This may be a solution for unemployment, but it is a lose/lose game unless the individuals have a comparative advantage in the informal sector. This article uses information from the Colombian...
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Journal of Applied Social Science
2021-03-01
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Ramoni-Perazzi, Josefa Orlandoni-Merli, Giampaolo Cibas 2022-02-25T14:33:11Z 2022-02-25T14:33:11Z 2021-03-01 Digital Informality is a common problem in Colombia, with almost 50 percent of the workers employed in this sector. This may be a solution for unemployment, but it is a lose/lose game unless the individuals have a comparative advantage in the informal sector. This article uses information from the Colombian Great Integrated Household Survey (GIHS) to analyze the wage gap between formal and informal urban sectors in two different periods, 2008:4 and 2017:4, using a semiparametric approach. Kernel density functions by groups are estimated; counterfactuals are generated by weighting wages of informal sector workers by their probability of working in the formal sector, to estimate how much an informal sector worker could make if treated as formal, according to his characteristics. The results indicate that only some groups (self-employed and some entrepreneurs) are better off if formalized. Ciencias Básicas 25 p application/pdf https://doi.org/10.1177/1936724420975343 https://repositorio.udes.edu.co/handle/001/6162 eng Journal of Applied Social Science USA 131 1 115 15 Scopus Journal of Applied Social Science Copyright © 2021The Authors Association for Applied and Clinical Sociology info:eu-repo/semantics/closedAccess Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/ https://journals.sagepub.com/doi/abs/10.1177/1936724420975343?journalCode=jaxc Colombian labor market Informal sector Kernel density function Wage gap Inequalities Analysis of the Formal/Informal Wage Inequalities in Colombia: A Semiparametric Approach Artículo de revista http://purl.org/coar/resource_type/c_6501 Text info:eu-repo/semantics/article http://purl.org/redcol/resource_type/ART info:eu-repo/semantics/publishedVersion Todas las Audiencias Publication http://purl.org/coar/access_right/c_14cb http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Universidad EIA |
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d_repositorio.udes.edu.co-DSPACE |
title |
Analysis of the Formal/Informal Wage Inequalities in Colombia: A Semiparametric Approach |
spellingShingle |
Analysis of the Formal/Informal Wage Inequalities in Colombia: A Semiparametric Approach Ramoni-Perazzi, Josefa Orlandoni-Merli, Giampaolo Ramoni-Perazzi, Josefa Orlandoni-Merli, Giampaolo Cibas Colombian labor market Informal sector Kernel density function Wage gap Inequalities |
title_short |
Analysis of the Formal/Informal Wage Inequalities in Colombia: A Semiparametric Approach |
title_full |
Analysis of the Formal/Informal Wage Inequalities in Colombia: A Semiparametric Approach |
title_fullStr |
Analysis of the Formal/Informal Wage Inequalities in Colombia: A Semiparametric Approach |
title_full_unstemmed |
Analysis of the Formal/Informal Wage Inequalities in Colombia: A Semiparametric Approach |
title_sort |
analysis of the formal/informal wage inequalities in colombia: a semiparametric approach |
author |
Ramoni-Perazzi, Josefa Orlandoni-Merli, Giampaolo Ramoni-Perazzi, Josefa Orlandoni-Merli, Giampaolo Cibas |
author_facet |
Ramoni-Perazzi, Josefa Orlandoni-Merli, Giampaolo Ramoni-Perazzi, Josefa Orlandoni-Merli, Giampaolo Cibas |
building |
Repositorio digital |
topic |
Colombian labor market Informal sector Kernel density function Wage gap Inequalities |
topic_facet |
Colombian labor market Informal sector Kernel density function Wage gap Inequalities |
publishDate |
2021-03-01 |
language |
English |
publisher |
Journal of Applied Social Science |
physical |
25 p |
format |
Artículo de revista |
description |
Informality is a common problem in Colombia, with almost 50 percent of the workers employed in this sector. This may be a solution for unemployment, but it is a lose/lose game unless the individuals have a comparative advantage in the informal sector. This article uses information from the Colombian Great Integrated Household Survey (GIHS) to analyze the wage gap between formal and informal urban sectors in two different periods, 2008:4 and 2017:4, using a semiparametric approach. Kernel density functions by groups are estimated; counterfactuals are generated by weighting wages of informal sector workers by their probability of working in the formal sector, to estimate how much an informal sector worker could make if treated as formal, according to his characteristics. The results indicate that only some groups (self-employed and some entrepreneurs) are better off if formalized.
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url |
https://repositorio.udes.edu.co/handle/001/6162 |
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https://repositorio.udes.edu.co/handle/001/6162 |
_version_ |
1789502121412919296 |
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11.257267 |