Two mechanisms have been proposed to explain sex selection in India: son preference in which parents desire a male heir and daughter aversion in which dowry payments make parents worse off with girls. Our model incorporates both mechanisms, providing micro-foundations, based on the organization of the marriage institution, for daughter aversion. Marital matching, sex selection, and dowries are jointly determined in the model, whose implications are tested on a representative sample of rural households. Simulations of the model indicate that existing policies targeting daughter aversion might exacerbate the problem, while identifying other policies that could be effective.
Paper exhibits were reproduced in two computers with the following specifications:
Matlab code:
Runtime: 3 days
Author | Affiliation | |
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Girija Borker | World Bank and IZA | gborker@workdbank.org |
Jan Eeckhout | UPF Barcelona (ICREA-BSE-CREi) | jan.eeckhout@upf.edu |
Nancy Luke | Pennsylvania State University | nkl10@psu.edu |
Shantidani Minz | Christian Medical College, Vellore | shantidanim@cmcvellore.ac.in |
Kaivan Munshi | Yale University and Toulouse School of Economics | kaivan.munshi@yale.edu |
Soumya Swaminathan | World Health Organization | swaminathans@who.int |
2024-02
Location | Code |
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India | IND |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
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Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
Name | Affiliation | |
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Girija Borker | World Bank | gborker@worldbank.org |
Reproducibility WB | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
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San Martin | LESM | World Bank | Junior data scientist |
2024-02
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