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Winsorized Mean Estimator for Censored Regression

Published online by Cambridge University Press:  18 October 2010

Myoung-Jae Lee
Myoung-Jae Lee
Affiliation:
The Pennsylvania State University
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Abstract

We introduce a semiparametric estimator for the censored linear regression model. It is based on the regression version of Huber's [6] M-estimator. It includes Powell's [19] censored least absolute deviations estimator as a special case and is related to Powell's [20] symmetrically censored least-squares estimator. We prove strong consistency and derive its asymptotic distribution which is √n-consistent with an easily computable covariance matrix. A small-scale simulation study shows that it works quite well in various cases.

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Type
Articles
Information
Econometric Theory , Volume 8 , Issue 3 , September 1992, pp. 368 - 382
Copyright
Copyright © Cambridge University Press 1992

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