Biases of the Ordinary Least Squares and Instrumental Variables Estimators of the Intergenerational Earnings Correlation: Revisited in the Light of Panel Data
Abstract:
The OLS estimator of the intergenerational earnings correlation is biased towards zero, while the instrumental variables estimator is biased upwards. The first of these results arises because of measurement error, while the latter rests on the presumption that the education of the parent family is an invalid instrument. We propose a panel data framework for quantifying the asymptotic biases of these estimators as well as a mis-specification test for the IV estimator. Using US data we estimate the bias of the OLS estimator to be in the order of 10% to 20%, and that of IV to vary between 40% and 60%. Supporting evidence that the IV estimator is inconsistent, in face of the specification test, is however limited, and results are shown to be sensitive to the assumptions underlying the serial correlation in transitory incomes.
More papers in Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) from Université de Lausanne, Faculté des HEC, DEEP Address: Université de Lausanne, Faculté des HEC, DEEP, Internef, CH-1015 Lausanne Series data maintained by Claudine Delapierre Saudan ().
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