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DF-analyses of heritability with double-entry twin data: asymptotic standard errors and efficient estimation

Author

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  • Hans-Peter Kohler

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • J. C. Rodgers

Abstract

In this paper we establish the asymptotic distribution of DeFries-Fulker (1985) regression estimates for heritability and shared environmental influences with double-entry twin data. A simple formula to estimate the covariance matrix of the coefficients in DF-regressions is provided, and applications to simulated data and Dabish twin data show that this method can substantially increase the statistical power of the analyses. We also provide an ´efficient DF-analysis´ that yields more precise estimates when additional covariates are included among the explanatory variables. (AUTHORS)

Suggested Citation

  • Hans-Peter Kohler & J. C. Rodgers, 2000. "DF-analyses of heritability with double-entry twin data: asymptotic standard errors and efficient estimation," MPIDR Working Papers WP-2000-005, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-2000-005
    DOI: 10.4054/MPIDR-WP-2000-005
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    File URL: http://dx.doi.org/10.1023/A:1010253411274
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    Cited by:

    1. Jere Behrman & Hans-Peter Kohler & Vibeke Jensen & Dorthe Pedersen & Inge Petersen & Paul Bingley & Kaare Christensen, 2011. "Does More Schooling Reduce Hospitalization and Delay Mortality? New Evidence Based on Danish Twins," Demography, Springer;Population Association of America (PAA), vol. 48(4), pages 1347-1375, November.

    More about this item

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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