G²LM|LIC - Depression Treatment and Female Performance in the Labor and Marriage Markets in India

This study investigates the impact of depression treatment on women’s outcomes in both the labor market and the marriage market in India. Depression is a prevalent barrier to women’s productivity, household bargaining power, and subjective well-being. The intervention provides structured depression treatment and examines its causal effects on women’s economic participation, marriage attitudes, and interpersonal relations. The dataset includes measures of mental health, cognition, risk attitudes, household consumption, intimate partner violence, and subjective well-being. Productivity is captured through experimental tasks such as the lentil sorting exercise. Confidentiality / Anonymization: All data have been anonymized according to Harvard Dataverse and G²LM|LIC standards. Sensitive variables (e.g. intimate partner violence) are included only in de-identified form and require controlled access. Methods: Randomized Controlled Trial (RCT) of depression treatment Surveys on labor market, marriage, and household outcomes Cognitive and risk-preference tests Productivity measures (lentil sorting exercise)

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Published
2025-09-12
DOI
https://doi.org/10.15185/glmlic.920.1
Primary Topic
Gender, Labor, and Family Dynamics
Type
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G²LM|LIC - Depression Treatment and Female Performance in the Labor and Marriage Markets in India

Daniel Bennett, Manuela Angelucci
Gender, Labor, and Family Dynamics
article

G²LM|LIC - Depression Treatment and Female Performance in the Labor and Marriage Markets in India

Daniel Bennett, Manuela Angelucci
article en

Abstract

This study investigates the impact of depression treatment on women’s outcomes in both the labor market and the marriage market in India. Depression is a prevalent barrier to women’s productivity, household bargaining power, and subjective well-being. The intervention provides structured depression treatment and examines its causal effects on women’s economic participation, marriage attitudes, and interpersonal relations. The dataset includes measures of mental health, cognition, risk attitudes, household consumption, intimate partner violence, and subjective well-being. Productivity is captured through experimental tasks such as the lentil sorting exercise. Confidentiality / Anonymization: All data have been anonymized according to Harvard Dataverse and G²LM|LIC standards. Sensitive variables (e.g. intimate partner violence) are included only in de-identified form and require controlled access. Methods: Randomized Controlled Trial (RCT) of depression treatment Surveys on labor market, marriage, and household outcomes Cognitive and risk-preference tests Productivity measures (lentil sorting exercise)

University of Southern California (US), California Southern University (US), The University of Texas at Austin (US)
Gender, Labor, and Family Dynamics
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G²LM|LIC - Depression Treatment and Female Performance in the Labor and Marriage Markets in India — Daniel Bennett, Manuela Angelucci · (2025) | TGRS Research Map | TGRS