Galtonian Regression of Intergenerational Income Linkages: Biased Procedures, a New Estimator and Mean-Square Error Comparisons

32 Pages Posted: 21 Feb 2008

See all articles by Ramses H. Abul Naga

Ramses H. Abul Naga

University of Bath - Department of Economics

Date Written: January 2001

Abstract

Because the permanent incomes of parents and children are typically unobserved, the estimation of the intergenerational correlation via the use of proxy variables entails an errors-in-variables bias. By solving a system of moment equations for income observed at a given year, and a T-period average of this variable, we derive an analytical form for the signal to total variance ratio. In turn, we propose a simple estimator of the intergenerational elasticity via division of the OLS estimator of this quantity. Estimates of the intergenerational elasticity derived from a PSID sample range between 0.34 and 0.69. The averaging estimator provides intermediary values between OLS and the proposed estimator. Persistence is higher for family income measures than labor market outcomes. Estimates generally increase for moving average specifications in comparison to the assumption that measurement errors are uncorrelated. The three estimators are further examined in the light of their mean-square errors (square bias plus variance).

Suggested Citation

Abul Naga, Ramses H., Galtonian Regression of Intergenerational Income Linkages: Biased Procedures, a New Estimator and Mean-Square Error Comparisons (January 2001). LSE STICERD Research Paper No. 53. Available at SSRN: https://ssrn.com/abstract=1094826

Ramses H. Abul Naga (Contact Author)

University of Bath - Department of Economics ( email )

Claverton Down
Bath, BA2 7AY
United Kingdom

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