A method for proxying a respondent's religious background: an application to school choice decisions.

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 matche...

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Publicado en:Journal of Human Resources Vol. 34; no. 1; pp. 193 - 208
Autores principales: Hofrenning, Stella Koutroumanes, Chiswick, Barry R.
Formato: Artículo
Publicado: University of Wisconsin Press Winter99
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A method for proxying a respondent's religious background: an application to school choice decisions.
      aug:
        au:
          Hofrenning, Stella Koutroumanes
          Chiswick, Barry R.
      su:
        School choice
        Algorithms
        Religious identity
        Social statistics
        Distribution (Probability theory)
      sug:
        subj:
          School choice
          Algorithms
          Religious identity
          Social statistics
          Distribution (Probability theory)
      keyword: Religious affiliation
      ab: 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. Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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