Data and Code for: "Depression, Poverty, and Economic Shocks: Evidence from India"
Principal Investigator(s): View help for Principal Investigator(s) Daniel Bennett, University of Southern California; Manuela Angelucci, University of Texas-Austin
Version: View help for Version V1
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Data | 05/03/2024 06:43:PM | ||
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Questionnaires | 05/03/2024 06:43:PM | ||
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application/pdf | 361.9 KB | 05/03/2024 02:43:PM |
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application/pdf | 28.9 KB | 05/22/2024 08:11:AM |
Project Citation:
Bennett, Daniel, and Angelucci, Manuela. Data and Code for: “Depression, Poverty, and Economic Shocks: Evidence from India.” Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-22. https://doi.org/10.3886/E202081V1
Project Description
Summary:
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This paper examines the correlations between socioeconomic status, economic shocks, and depression, and how these vary by gender, in a sample of adults from India. Poverty and the exposure to negative shocks are both associated with depression. However, the frequency of negative shocks varies only slightly by socioeconomic status and gender. Instead, poor people and women appear to be more vulnerable to negative shocks. These patterns suggest that social protection programs may foster mental health for these groups and reduce mental health disparities.
Funding Sources:
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Swiss Programme for Research on Global Issues and Development (r4d programme) (400640-160374)
Scope of Project
Subject Terms:
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Mental Health;
depression (psychology);
Economic shocks
JEL Classification:
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I15 Health and Economic Development
I18 Health: Government Policy; Regulation; Public Health
I15 Health and Economic Development
I18 Health: Government Policy; Regulation; Public Health
Geographic Coverage:
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Madhugiri Taluk, Karnataka, India
Time Period(s):
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2017 – 2018
Collection Date(s):
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11/2017 – 4/2018
Data Type(s):
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survey data
Methodology
Sampling:
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Random sampling
Data Source:
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Primary survey data
Unit(s) of Observation:
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Individual
Geographic Unit:
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Village
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