Abstract Purpose – This study aims at estimating the gender wage gap in Ecuador, and its evolution over the last decade and a half, exploring its heterogeneity through different working conditions (formal/informal, full employment/underemployment, short term/long term and tenure/no tenure) and workers personal characteristics (education level; age and children). Design/methodology/approach – Propensity score matching (PSM) and coarsened exact matching (CEM) are used to examine the gender pay inequality of wage earners in Ecuador, using the National Employment, Unemployment and Underemployment Survey (ENEMDU) data set from 2007 to 2022. Findings – Results show a persistent gender pay gap, evidencing a significant heterogeneity through the different dimensions taken into account, in terms of working conditions and workers personal characteristics. The evolution of the pay gap during the years analyzed hardly shows any reduction of differences in earnings between men and women; on the contrary, women exposure to precarious and unregulated jobs seems to be increasing wage inequality. Practical implications – The results make the case for active policies oriented not only at containing the negative effects of the traditional division of labor within the family but also at improving labor law enforcement, mitigating informality and workers rapid turnover. Originality/value – This study is one of the few that use matching techniques to study the gender wage gap and the first in Ecuador; the time span taken into account is larger than previous studies, allowing a mediumlong run perspective across different economic phases
The intersection between traditional roles and a fragmented labor market: a propensity score matching analysis of gender wage gap in Ecuador / Caria, S.; Yepez, J.. - In: JOURNAL OF ECONOMIC STUDIES. - ISSN 0144-3585. - Ahead of print:(2024), pp. 1-22. [10.1108/JES-01-2024-0002]
The intersection between traditional roles and a fragmented labor market: a propensity score matching analysis of gender wage gap in Ecuador
Caria S.
;
2024
Abstract
Abstract Purpose – This study aims at estimating the gender wage gap in Ecuador, and its evolution over the last decade and a half, exploring its heterogeneity through different working conditions (formal/informal, full employment/underemployment, short term/long term and tenure/no tenure) and workers personal characteristics (education level; age and children). Design/methodology/approach – Propensity score matching (PSM) and coarsened exact matching (CEM) are used to examine the gender pay inequality of wage earners in Ecuador, using the National Employment, Unemployment and Underemployment Survey (ENEMDU) data set from 2007 to 2022. Findings – Results show a persistent gender pay gap, evidencing a significant heterogeneity through the different dimensions taken into account, in terms of working conditions and workers personal characteristics. The evolution of the pay gap during the years analyzed hardly shows any reduction of differences in earnings between men and women; on the contrary, women exposure to precarious and unregulated jobs seems to be increasing wage inequality. Practical implications – The results make the case for active policies oriented not only at containing the negative effects of the traditional division of labor within the family but also at improving labor law enforcement, mitigating informality and workers rapid turnover. Originality/value – This study is one of the few that use matching techniques to study the gender wage gap and the first in Ecuador; the time span taken into account is larger than previous studies, allowing a mediumlong run perspective across different economic phasesFile | Dimensione | Formato | |
---|---|---|---|
10-1108_JES-01-2024-0002.pdf
Accesso riservato
Tipologia:
Versione pubblicata dall'editore
Dimensione
5.78 MB
Formato
Adobe PDF
|
5.78 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris