Employment Status, Time Use Patterns, and Well-being: A Disaggregated Analysis

This study examines the relationship between employment status, time allocation, and the wellbeing of women in rural Anantnag, Kashmir. By analyzing how employed and unemployed womendistribute their time. The research highlights the dual burden faced by employed women, who balancework and household responsibilities, and the increased time spent on household duties by unemployedwomen. Additionally, the study explores the psychological and physical well-being of women, findinghigher levels of stress and exhaustion among employed women and increased anxiety among theunemployed. Using statistical methods such as ANOVA, Kruskal-Wallis tests, and regression analysis, thestudy identifies key factors that influence time allocation. The study calls for comprehensive policyinterventions that address structural barriers and improve the economic and social mobility of women inrural Kashmir.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-13
DOI
https://doi.org/10.5281/zenodo.15206207
Primary Topic
Gender, Labor, and Family Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Employment Status, Time Use Patterns, and Well-being: A Disaggregated Analysis

Zenodo (CERN European Organization for Nuclear Research)
Gender, Labor, and Family Dynamics
article

Employment Status, Time Use Patterns, and Well-being: A Disaggregated Analysis

article en

Abstract

This study examines the relationship between employment status, time allocation, and the wellbeing of women in rural Anantnag, Kashmir. By analyzing how employed and unemployed womendistribute their time. The research highlights the dual burden faced by employed women, who balancework and household responsibilities, and the increased time spent on household duties by unemployedwomen. Additionally, the study explores the psychological and physical well-being of women, findinghigher levels of stress and exhaustion among employed women and increased anxiety among theunemployed. Using statistical methods such as ANOVA, Kruskal-Wallis tests, and regression analysis, thestudy identifies key factors that influence time allocation. The study calls for comprehensive policyinterventions that address structural barriers and improve the economic and social mobility of women inrural Kashmir.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
Openalex Percentile: Top 49%
Gender, Labor, and Family Dynamics
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