On the Asymptotic Normality of the Conditional Maximum Likelihood Estimators for the Truncated Regression Model and the Tobit Model
نویسنده
چکیده
In this paper, we study the asymptotic normality of the conditional maximum likelihood (ML) estimators for the truncated regression model and the Tobit model. We show that under the general setting assumed in his book, the conjectures made by Hayashi (2000) 1 about the asymptotic normality of the conditional ML estimators for both models are true, namely, a sufficient condition is the nonsingularity of xtx ′ t . AMS 2000 Mathematics Subject Classification: Primary 62F12, 62H12
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تاریخ انتشار 2008