Forecasting the Gender Wage Gap in Argentina from a Productivity-Based Approach

This paper analyzes the association between the gender wage gap (GWG) and productivity at the industry level in Argentina from 2002 to 2022, drawing on gender studies and literature on structural change. Using dynamic OLS regression with random effects across the 1st to 4th quantiles, we examine the...

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Main Authors: Diana Suárez, Florencia Fiorentin, Florencia Barletta
Format: Article
Language:English
Published: Universidad de Huelva 2024-12-01
Series:Revista de Economía Mundial
Subjects:
Online Access:https://www.uhu.es/publicaciones/ojs/index.php/REM/article/view/8293
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author Diana Suárez
Florencia Fiorentin
Florencia Barletta
author_facet Diana Suárez
Florencia Fiorentin
Florencia Barletta
author_sort Diana Suárez
collection DOAJ
description This paper analyzes the association between the gender wage gap (GWG) and productivity at the industry level in Argentina from 2002 to 2022, drawing on gender studies and literature on structural change. Using dynamic OLS regression with random effects across the 1st to 4th quantiles, we examine the relationship between the GWG, female labor participation, and industry productivity. Results indicate that increased female participation is positively associated with reductions in the wage gap in the least productive industries. Additionally, female education rates contribute positively to reducing the GWG. The findings also reveal that productivity gains in the most productive sectors help narrow the gender wage gap, suggesting that structural shifts toward higher productivity levels may play a role in closing this gap.
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institution Kabale University
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language English
publishDate 2024-12-01
publisher Universidad de Huelva
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series Revista de Economía Mundial
spelling doaj-art-9538a9e136cb4f3ebbb5df52c67dabbf2024-12-13T13:12:56ZengUniversidad de HuelvaRevista de Economía Mundial1576-01622340-42642024-12-016810.33776/rem.vi68.8293Forecasting the Gender Wage Gap in Argentina from a Productivity-Based ApproachDiana SuárezFlorencia Fiorentin0Florencia Barletta1Instituto de industria - Universidad Nacional de General Sarmiento (IDEI/UNGS) / Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Instituto de industria - Universidad Nacional de General Sarmiento (IDEI/UNGS)This paper analyzes the association between the gender wage gap (GWG) and productivity at the industry level in Argentina from 2002 to 2022, drawing on gender studies and literature on structural change. Using dynamic OLS regression with random effects across the 1st to 4th quantiles, we examine the relationship between the GWG, female labor participation, and industry productivity. Results indicate that increased female participation is positively associated with reductions in the wage gap in the least productive industries. Additionally, female education rates contribute positively to reducing the GWG. The findings also reveal that productivity gains in the most productive sectors help narrow the gender wage gap, suggesting that structural shifts toward higher productivity levels may play a role in closing this gap. https://www.uhu.es/publicaciones/ojs/index.php/REM/article/view/8293gender wage gapproductivitystructural change
spellingShingle Diana Suárez
Florencia Fiorentin
Florencia Barletta
Forecasting the Gender Wage Gap in Argentina from a Productivity-Based Approach
Revista de Economía Mundial
gender wage gap
productivity
structural change
title Forecasting the Gender Wage Gap in Argentina from a Productivity-Based Approach
title_full Forecasting the Gender Wage Gap in Argentina from a Productivity-Based Approach
title_fullStr Forecasting the Gender Wage Gap in Argentina from a Productivity-Based Approach
title_full_unstemmed Forecasting the Gender Wage Gap in Argentina from a Productivity-Based Approach
title_short Forecasting the Gender Wage Gap in Argentina from a Productivity-Based Approach
title_sort forecasting the gender wage gap in argentina from a productivity based approach
topic gender wage gap
productivity
structural change
url https://www.uhu.es/publicaciones/ojs/index.php/REM/article/view/8293
work_keys_str_mv AT dianasuarez forecastingthegenderwagegapinargentinafromaproductivitybasedapproach
AT florenciafiorentin forecastingthegenderwagegapinargentinafromaproductivitybasedapproach
AT florenciabarletta forecastingthegenderwagegapinargentinafromaproductivitybasedapproach