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Corrected Maximum Likelihood Estimators in Linear Heteroskedastic Regression Models

Brazilian Review of Econometrics

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Title Corrected Maximum Likelihood Estimators in Linear Heteroskedastic Regression Models
Corrected Maximum Likelihood Estimators in Linear Heteroskedastic Regression Models
 
Creator Cordeiro, Gauss M.
 
Description The linear heteroskedastic regression model, for which the variance of the response is given by a suitable function of a set of linear exogenous variables, is very useful in econometric applications. We derive a simple matrix formula for the n^−1 biases of the maximum likelihood estimators of the parameters in the variance of the response, where n is the sample size. These biases are easily obtained as a vector of regression coefficients in a simple weighted least squares regression. We use simulation to compare the uncorrected estimators with the bias-corrected ones to conclude the superiority of the corrected estimators over the uncorrected ones with regard to the normal approximation. The practical use of such biases is illustrated in two applications to real data sets.
The linear heteroskedastic regression model, for which the variance of the response is given by a suitable function of a set of linear exogenous variables, is very useful in econometric applications. We derive a simple matrix formula for the n^−1 biases of the maximum likelihood estimators of the parameters in the variance of the response, where n is the sample size. These biases are easily obtained as a vector of regression coefficients in a simple weighted least squares regression. We use simulation to compare the uncorrected estimators with the bias-corrected ones to conclude the superiority of the corrected estimators over the uncorrected ones with regard to the normal approximation. The practical use of such biases is illustrated in two applications to real data sets.
 
Publisher Sociedade Brasileira de Econometria
 
Date 2008-05-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
application/pdf
 
Identifier http://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/1515
10.12660/bre.v28n12008.1515
 
Source Brazilian Review of Econometrics; Vol. 28 No. 1 (2008); 1-18
Brazilian Review of Econometrics; v. 28 n. 1 (2008); 1-18
1980-2447
 
Language eng
por
 
Relation http://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/1515/938
http://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/1515/939