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A Method for Proxying a Respondent's Religious Background: An Application to School Choice Decisions

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  • Stella Koutroumanes Hofrenning
  • Barry R. Chiswick

Abstract

This paper develops an algorithm for the probability distribution of a respondent's religion in microdata (including the decennial census) in which there are data on ancestry but not on religion. A frequency distribution of religion by ancestry is generated from the General Social Survey and matched by ancestry groups in the U.S. decennial census. The fruitfulness of the procedure is demonstrated through an analysis of the effect of alternative measures of religion on the household's choice of public versus private schooling for children. This method is useful to any researcher wanting to distinguish religious affiliation when only ancestry data are available.

Suggested Citation

  • Stella Koutroumanes Hofrenning & Barry R. Chiswick, 1999. "A Method for Proxying a Respondent's Religious Background: An Application to School Choice Decisions," Journal of Human Resources, University of Wisconsin Press, vol. 34(1), pages 193-207.
    • Handle: RePEc:uwp:jhriss:v:34:y:1999:i:1:p:193-207
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    Cited by:

    1. Christina A. Houseworth & Barry R. Chiswick, 2020. "Divorce among European and Mexican Immigrants in the U.S," Review of Economics of the Household, Springer, vol. 18(1), pages 1-25, March.
    2. Danny Cohen-Zada & William Sander, 2006. "Private School Choice: The Effects Of Religion And Religiosity," Working Papers 0601, Ben-Gurion University of the Negev, Department of Economics.
    3. Cohen-Zada, Danny & Elder, Todd, 2018. "Religious pluralism and the transmission of religious values through education," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 325-349.
    4. Condon, Daniel, 2002. "Monopsony power and the market for clergy: Some evidence from the census," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(5), pages 889-900.
    5. Cohen-Zada, Danny, 2006. "Preserving religious identity through education: Economic analysis and evidence from the US," Journal of Urban Economics, Elsevier, vol. 60(3), pages 372-398, November.

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