A Theory of Child Adoption
AbstractWomen can bear own children or adopt them. Extending economic theories of fertility, we provide a first theoretical treatment of the demand for adoption. We show that the propensity to adopt a child increases in the degree of own altruism, infertility, relatedness to the child, costs of own child birth, and any adoption-specific monetary return that is received net of the costs of adopting the child. Our model makes several testable predictions which receive empirical support. These include a higher propensity to adopt among infertile adults, relatives, women with high earnings potential, and celebrities.
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Bibliographic InfoPaper provided by Otto-von-Guericke University Magdeburg, Faculty of Economics and Management in its series FEMM Working Papers with number 120015.
Length: 12 pages
Date of creation: Jun 2012
Date of revision:
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More information through EDIRC
Adoption; Demand for Adoption; Fertility; Children; Altruism;
Other versions of this item:
- Bethmann, Dirk & Kvasnicka, Michael, 2012. "A Theory of Child Adoption," IZA Discussion Papers 6689, Institute for the Study of Labor (IZA).
- Dirk Bethmann & Michael Kvasnicka, 2012. "A Theory of Child Adoption," Ruhr Economic Papers 0342, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
- J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
- J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
- D02 - Microeconomics - - General - - - Institutions: Design, Formation, and Operations
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- Mariagiovanna Baccara & Allan Collard-Wexler & Leonardo Felli & Leeat Yariv, 2010.
"Child-Adoption Matching: Preferences for Gender and Race,"
NBER Working Papers
16444, National Bureau of Economic Research, Inc.
- Mariagiovanna Baccara & Allan Collard-Wexler & Leonardo Felli & Leeat Yariv, 2014. "Child-Adoption Matching: Preferences for Gender and Race," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 133-58, July.
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