Economic consequences of eliminating gender discrimination in the labor market
Kênia Barreiro de Souza,
Edson Paulo Domingues and
Geoffrey Hewings
Economic Systems Research, 2026, vol. 38, issue 1, 40-58
Abstract:
Theoretical and empirical literature on labor market discrimination is extensive on showing persistent wage gaps across genders at individual level. However, at the aggregate level, the economic consequences of gender discrimination remain unclear. In this article, economic consequences of gender discrimination are estimated through interacting a wage decomposition model (individual) and an input–output model (aggregated level). Using the decomposition’s results, it was possible to calculate individual wage adjustments, so that all individuals are remunerated according to their observable characteristics as well as the group of non-discriminated individuals. In turn, these estimates were used to simulate changes on labor nominal costs (price effect) and consumption (income effect). Our results indicate that the income effect generated through consumption overcomes the price effect, raising production (0.90%), welfare (2.70%) and employment (0.94%). Nonetheless, the results are very heterogeneous across sectors and households.
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/09535314.2024.2437365 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:ecsysr:v:38:y:2026:i:1:p:40-58
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CESR20
DOI: 10.1080/09535314.2024.2437365
Access Statistics for this article
Economic Systems Research is currently edited by Bart Los and Manfred Lenzen
More articles in Economic Systems Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().