Statistical analyses of gender disparities in unpaid work in Georgia

Simon Gelashvili () and Mariam Okruashvili ()

Edelweiss Applied Science and Technology, 2024, vol. 8, issue 4, 1144-1156

Abstract: Using data from the Labour Force Survey (LFS) with a quarterly sample size of 6,400 households and the Georgia Time Use Survey (GTUS) covering 3,680 households nationwide, this article investigates gender disparities in unpaid work in Georgia and their impact on individual welfare. Employing international methodologies, we calculated new statistical indicators and refined existing ones, including the improvement of Sustainable Development Goal indicator 5.4.1 (SDG 5.4.1). Regression analysis identified education level as a significant factor influencing unpaid work. Our findings underscore significant gender disparities in unpaid work, leading to heightened workloads and temporary poverty for women. These disparities persist across various demographic factors. This research contributes to understanding the dynamics of unpaid work and its implications for gender equality and welfare.

Keywords: Gender inequality; Labour market; Unpaid work; Wages; Welfare. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://learning-gate.com/index.php/2576-8484/article/view/1489/452 (application/pdf)

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:ajp:edwast:v:8:y:2024:i:4:p:1144-1156:id:1489

Access Statistics for this article

More articles in Edelweiss Applied Science and Technology from Learning Gate
Bibliographic data for series maintained by Melissa Fernandes ().