Replication data for: Cooperation in Polygynous Households
Principal Investigator(s): View help for Principal Investigator(s) Abigail Barr; Marleen Dekker; Wendy Janssens; Bereket Kebede; Berber Kramer
Version: View help for Version V1
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Project Citation:
Barr, Abigail, Dekker, Marleen, Janssens, Wendy, Kebede, Bereket, and Kramer, Berber. Replication data for: Cooperation in Polygynous Households. Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113730V1
Project Description
Summary:
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Using a carefully designed series of public goods games, we compare, across monogamous and polygynous households, the willingness of husbands and wives to cooperate to maximize household gains. Compared to monogamous husbands and wives, polygynous husbands and wives are less cooperative, one with another, and co-wives are least cooperative, one with another. The husbands' and wives' behavior in a corresponding series of inter-household games indicates that these differences cannot be attributed to selection of less cooperative people into polygyny. Finally, behavior in polygynous households is more reciprocal and less apparently altruistic.
Scope of Project
Subject Terms:
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Polygamy;
Cooperation;
Lab-in-field experiment;
Household decision-making
JEL Classification:
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C93 Field Experiments
D13 Household Production and Intrahousehold Allocation
J12 Marriage; Marital Dissolution; Family Structure; Domestic Abuse
O12 Microeconomic Analyses of Economic Development
C93 Field Experiments
D13 Household Production and Intrahousehold Allocation
J12 Marriage; Marital Dissolution; Family Structure; Domestic Abuse
O12 Microeconomic Analyses of Economic Development
Geographic Coverage:
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Kwara State, Nigeria
Time Period(s):
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6/1/2013 – 8/31/2013 (Summer 2013)
Universe:
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Participants in a former panel survey, which were representative of households from Edu LGA in Kwara State, with stratification by type of locality (rural / town) and health insurance coverage.
Data Type(s):
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experimental data
Methodology
Unit(s) of Observation:
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Individuals,
Married couples,
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