Data and Code for: Women Left Behind: Gender Disparities in Utilization of Government Health Insurance in India

Principal Investigator(s): View help for Principal Investigator(s) Pascaline Dupas, Princeton University; Radhika Jain, University College London

Version: View help for Version V1

Name	File Type	Size	Last Modified
Women_left_behind_replication			06/12/2024 05:12:PM

Project Citation:

Dupas, Pascaline, and Jain, Radhika. Data and Code for: Women Left Behind: Gender Disparities in Utilization of Government Health Insurance in India. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-08-27. https://doi.org/10.3886/E199081V1

Project Description

Summary: This package contains the survey data and documentation for “Women Left Behind: Gender Disparities in Utilization of Government Health Insurance in India,” by Pascaline Dupas and Radhika Jain. It contains data collected in Rajasthan, India between the Summer of 2017 and the Fall of 2020, as well as the survey instruments used to collect it. The abstract of the paper is as follows:

We document large gender disparities within a government program that entitles 46 million poor individuals to free hospital care. We show that care is not free in practice and higher costs are associated with larger disparities. Lowering care costs increases female utilization but does not reduce gender disparities because marginal beneficiaries are as likely to be male as inframarginals. Long-term exposure to local female leaders reduces disparities by addressing factors lowering female care. In the presence of gender bias, subsidizing social services may fail to address gender inequalities without actions that specifically target females.

Scope of Project

Subject Terms: Randomized Control Trial; Gender Bias; Healthcare; Political Quotas

JEL Classification:
      I12 Health Behavior
      I13 Health Insurance, Public and Private
      J16 Economics of Gender; Non-labor Discrimination
      O12 Microeconomic Analyses of Economic Development

Geographic Coverage: Rajasthan, India

Time Period(s): 6/1/2017 – 11/30/2020

Collection Date(s): 6/1/2017 – 11/30/2020

Universe: - 20,000 randomly selected participants of the Bhamashah Swasthya Bima Yojana program (Audit surveys)
- 1,164 rural households that had a BSBY-covered childbirth in 2017 (HH survey)
- 561 GP Sarpanches in November 2020 (Sarpanch survey)

Data Type(s): survey data

Methodology

Unit(s) of Observation: Individual: Patient, Individual: Public servant, Individual

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Published Versions

V1 [2024-08-27]

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DDI 2.5

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