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

Hans-Peter Kohler and J. C. Rodgers
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Hans-Peter Kohler: Max Planck Institute for Demographic Research, Rostock, Germany

No WP-2000-005, MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany

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)

JEL-codes: J1 Z0 (search for similar items in EconPapers)
Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:dem:wpaper:wp-2000-005

DOI: 10.4054/MPIDR-WP-2000-005

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