All Rights Reserved
AccessEcon LLC 2006, 2008.
Powered by MinhViet JSC
ralph lauren polo

 
Kazumitsu Nawata
 
''Robust estimation based on the third-moment restriction of the error terms for the Box-Cox transformation model: An estimator consistent under heteroscedasticity''
( 2015, Vol. 35 No.2 )
 
 
The Box-Cox (1964) transformation model is widely used in various fields of econometrics and statistics. Generally, the maximum likelihood estimator under the normality assumption (BC MLE) is used. However, the BC MLE is not consistent under heteroscedasticity, even if the “small sigma” assumption is satisfied. Here I propose a new robust estimator of the Box-Cox transformation model. The estimator is based on only the first- and third-moment restrictions of the error terms, and it is consistent even under heteroscedasticity. Moreover, it can be easily calculated by the least-squares and scanning methods. The asymptotic distribution of the proposed estimator was obtained, and the results of Monte Carlo experiments are presented.
 
 
Keywords: Box-Cox transformation, heteroscedasticity, robust estimator, moment restriction
JEL: C2 - Single Equation Models; Single Variables: General
C4 - Econometric and Statistical Methods: Special Topics
 
Manuscript Received : Jul 04 2014 Manuscript Accepted : Apr 22 2015

  This abstract has been downloaded 540 times                The Full PDF of this paper has been downloaded 104271 times