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Does individual educational attainment affect educational homogamy?—Evidence from CGSS

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  • Congjia Huo
  • Lingming Chen

Abstract

Family is the basic unit that constitutes social relations, and marriage‐matching determines the development trajectory of a household. Education has become one of the most important ingredients of marriage in modern society, and the proportion of homogamy is increasing day by day. This article employs the data from the Chinese General Social Survey to research the mechanism of educational attainment on the educational homogamy. To eliminate the effect of endogeneity, we use the Probit model and instrumental variables for testing. The empirical results indicate that social members with higher educational backgrounds are more likely to choose educational homogamy. After controlling for other variables, social members and female members with lower ages are more likely to choose spouses with similar educational backgrounds.

Suggested Citation

  • Congjia Huo & Lingming Chen, 2022. "Does individual educational attainment affect educational homogamy?—Evidence from CGSS," International Studies of Economics, John Wiley & Sons, vol. 17(1), pages 82-107, June.
  • Handle: RePEc:wly:intsec:v:17:y:2022:i:1:p:82-107
    DOI: 10.1002/ise3.9
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    References listed on IDEAS

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    1. Christine Schwartz & Robert Mare, 2005. "Trends in educational assortative marriage from 1940 to 2003," Demography, Springer;Population Association of America (PAA), vol. 42(4), pages 621-646, November.
    2. Michael Kremer, 1997. "How Much does Sorting Increase Inequality?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(1), pages 115-139.
    3. Gary S. Becker, 1994. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition," NBER Books, National Bureau of Economic Research, Inc, number beck94-1.
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    Cited by:

    1. Ai, Chunrong & Sun, Li-Hsien & Zhang, Zheng & Zhu, Liping, 2024. "Testing unconditional and conditional independence via mutual information," Journal of Econometrics, Elsevier, vol. 240(2).

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