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A semiparametric derivative estimator in log transformation models

Chunrong Ai and Edward Norton

Econometrics Journal, 2008, vol. 11, issue 3, 538-553

Abstract: This paper considers a regression model with a log-transformed dependent variable. The log transformed model is estimated by simple least squares, but computing the conditional mean of the dependent variable on the original scale given the explanatory variables requires knowing the conditional distribution of the error term in the transformed model. We show how to obtain a consistent estimator for the conditional mean and its derivatives without specifying the conditional distribution of the error term. The asymptotic distribution of the estimator is derived. The proposed procedure is then illustrated via a simulation study. Copyright The Author(s). Journal compilation Royal Economic Society 2008

Date: 2008
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Working Paper: A Semiparametric Derivative Estimator in Log Transformation Models (2006) Downloads
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Econometrics Journal is currently edited by Richard J. Smith, Oliver Linton, Pierre Perron, Jaap Abbring and Marius Ooms

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Handle: RePEc:ect:emjrnl:v:11:y:2008:i:3:p:538-553