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Revealed beliefs and the marriage market return to education

Abstract:
We develop a new methodology to estimate subjective beliefs from hypothetical choice data. Our identification approach is based on the novel insight that by varying the amount of information on future realizations of stochastic variables, discrete choice experiments can identify not only preferences, but also subjective beliefs. We formally prove this result in a general setting and apply it to design a strategic survey instrument to measure Rajasthani parents’ subjective beliefs over the joint distribution of girls’ age of marriage, education, and marriage match quality. Our approach allows us to quantify the importance of perceived marriage market returns to education and youth, and perform various counterfactual simulation exercises. We find that eliminating the perceived marriage market return to education causes a 60% drop in the number of girls still in school at age-16, and almost none continue their education by age-18. Responses to our strategic survey instrument allow us accurately to predict realized schooling trajectories in follow-up data we collect from the same sample five years after our experimental data collection.
Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1093/qje/qjaf020

Authors

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Institution:
University of Oxford
Division:
SSD
Department:
Economics
Oxford college:
Trinity College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Economics
Role:
Author
ORCID:
0000-0003-4647-1126


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Funder identifier:
https://ror.org/012mzw131
Grant:
RPG-2021-391
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Funder identifier:
https://ror.org/0472cxd90
Grant:
695300
948070


Publisher:
Oxford University Press
Journal:
The Quarterly Journal of Economics More from this journal
Volume:
140
Issue:
3
Pages:
2107–2162
Publication date:
2025-04-15
Acceptance date:
2025-04-16
DOI:
EISSN:
1531-4650
ISSN:
0033-5533


Language:
English
Pubs id:
2120347
Local pid:
pubs:2120347
Deposit date:
2025-04-29
ARK identifier:

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