How Important Are Labor-Market Gender Gaps in the South Caucasus?

In this paper, we use survey data from the South Caucasus countries (Armenia, Azerbaijan, and Georgia) to document the presence of gender gaps in the labor market and examine its consequences. To do the analysis, we use a numerical general-equilibrium occupational choice model with heterogeneous agents in entrepreneurial ability. We then introduce the observed gender gaps in labor-force participants, employers, and self-employed. We find that entrepreneurship gender gaps cause an average GDP loss of 6.2%, while gender gaps in labor-force participation cause an average GDP loss of 9%. Armenia (2007) displays the largest total loss and Georgia (2007, 2014) the smallest ones. We also decompose the gender gaps and their associated costs by households with different education levels and with and without dependents at home. Our results indicate that most of the income losses are driven by households with high education and those with dependents, especially those with both children and elderly at home.

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Publication Details

Journal
Economies
Published
2024-12-04
DOI
https://doi.org/10.3390/economies12120332
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
0.00

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article

How Important Are Labor-Market Gender Gaps in the South Caucasus?

Marc Teignier, David Cuberes
Economies
Income, Poverty, and Inequality
article

How Important Are Labor-Market Gender Gaps in the South Caucasus?

Marc Teignier, David Cuberes
article en

Abstract

In this paper, we use survey data from the South Caucasus countries (Armenia, Azerbaijan, and Georgia) to document the presence of gender gaps in the labor market and examine its consequences. To do the analysis, we use a numerical general-equilibrium occupational choice model with heterogeneous agents in entrepreneurial ability. We then introduce the observed gender gaps in labor-force participants, employers, and self-employed. We find that entrepreneurship gender gaps cause an average GDP loss of 6.2%, while gender gaps in labor-force participation cause an average GDP loss of 9%. Armenia (2007) displays the largest total loss and Georgia (2007, 2014) the smallest ones. We also decompose the gender gaps and their associated costs by households with different education levels and with and without dependents at home. Our results indicate that most of the income losses are driven by households with high education and those with dependents, especially those with both children and elderly at home.

EconomiesVol. 12(12)
Clark University (US), Barcelona School of Economics (ES), Universitat de Barcelona (ES)
Generalitat de Catalunya, Agència de Gestió d'Ajuts Universitaris i de Recerca, European Regional Development Fund, Agencia Estatal de Investigación
Decent work and economic growth
Openalex Percentile: Top 65%
Income, Poverty, and Inequality
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