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Twins are more different than commonly believed, but made less different by compensating behaviors

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  • Choi, Jin-young
  • Lee, Myoung-jae

Abstract

Twin studies are popular, because twins are believed to be the same/similar in genes and environmental exposures. It is well documented, however, that the firstborns are healthier at birth. We use the entire U.S. record of twin births during 1995–2000 to show that the survival duration parameters differ between twins depending on the birth order. We also find that wiser (i.e., older or educated) or married (i.e., resource-richer) mothers take more care of the weaker, which is a “compensating” behavior reducing the twin difference, as opposed to “reinforcing (the twin difference)” behavior. The systematic survival pattern difference and the mother's intervention against nature send cautions to twin studies that regard twins homogeneous to interpret their findings accordingly. Since the survival duration in our data is 97% right-censored in one year, we devise a quantile-based ‘fixed-effect’ semiparametric estimator that can handle heavy censoring, which is our methodological contribution.

Suggested Citation

  • Choi, Jin-young & Lee, Myoung-jae, 2019. "Twins are more different than commonly believed, but made less different by compensating behaviors," Economics & Human Biology, Elsevier, vol. 35(C), pages 18-31.
  • Handle: RePEc:eee:ehbiol:v:35:y:2019:i:c:p:18-31
    DOI: 10.1016/j.ehb.2019.03.007
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    Cited by:

    1. Brilli, Ylenia & Restrepo, Brandon J., 2020. "Birth weight, neonatal care, and infant mortality: Evidence from macrosomic babies," Economics & Human Biology, Elsevier, vol. 37(C).

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    More about this item

    Keywords

    Twin study; Birth-order effect; Compensating behavior; Heavy censoring; Quantiles;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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