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Kazumitsu Nawata |
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''A monte carlo analysis of the type II tobit maximum likelihood estimator when the true model is the type I tobit model'' |
( 2007, Vol. 3 No.54 ) |
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Type I (censored regression) and Type II Tobit (sample selection) models are widely used in the various fields of economics. The Type I Tobit model is a special case of the Type II Tobit model. However, the dimension of the error terms decreases and the distribution of the error terms degenerates in the Type I Tobit Model. Therefore, we cannot use the standard asymptotic theorems for the Type II Tobit Maximum Likelihood Estimator (MLE) when the sample is obtained from the Type I Tobit model. Results of Monte Carlo experiments show strange behavior that has never been reported before for the Type II MLE. |
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Keywords: |
JEL: C2 - Single Equation Models; Single Variables: General
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Manuscript Received : Nov 03 2007 | | Manuscript Accepted : Nov 03 2007 |
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