"Data and Code for: Convincing the Mummy-ji: Improving Mother-in-Law Approval of Family Planning in India"

Principal Investigator(s): View help for Principal Investigator(s) S. Anukriti, Development Research Group, World Bank ; Catalina Herrera-Almanza, University of Illinois at Urbana-Champaign; Mahesh Karra, Boston University ; Rocio Valdebenito, University of Illinois at Urbana-Champaign

Version: View help for Version V1

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Replication-tosubmit-04272022			04/29/2022 02:08:PM

Project Citation:

Anukriti, S., Herrera-Almanza, Catalina , Karra, Mahesh , and Valdebenito, Rocio . “Data and Code for: Convincing the Mummy-ji: Improving Mother-in-Law Approval of Family Planning in India” . Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-05-10. https://doi.org/10.3886/E169141V1

Project Description

Summary: Mothers-in-law, especially those in South Asia, can exert significant influence over women, often even more so than women’s husbands or other household members. Using data from rural India, we first show that mothers-in-law are more likely than husbands to a) disapprove of women’s family planning use; and b) want women to have more children, particularly sons, than what women themselves want. Next, using a field experiment, we show that providing women with vouchers for subsidized family planning services not only enabled them to initiate discussions about family planning with their mothers-in-law, but also increased their mothers-in-law’s approval of family planning.

Funding Sources: Northeastern University, Tier-1 Grant ; Human Capital Initiative at the Boston University Global Development Policy Center

Scope of Project

Subject Terms: "Randomized Control Trial"

JEL Classification:
      I15 Health and Economic Development
      J13 Fertility; Family Planning; Child Care; Children; Youth
      J16 Economics of Gender; Non-labor Discrimination
      O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration

Geographic Coverage: India

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Published Versions

V1 [2022-05-10]

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