publication . Preprint . Article . Other literature type . Research . 1998

Approximate bias correction in econometrics

MacKinnon, James G.; Jr., Anthony A. Smith;
Open Access
  • Published: 01 Aug 1998
Abstract
This paper discusses ways to reduce the bias of consistent estimators that are biased in finite samples. It is necessary that the bias function, which relates parameter values to bias, should be estimable by computer simulation or by some other method. If so, bias can be reduced or, in some cases that may not be unrealistic, even eliminated. In general, several evaluations of the bias function will be required to do this. Unfortunately, reducing bias may increase the variance, or even the mean squared error, of an estimator. Whether or not it does so depends on the shape of the bias functions. The techniques of the paper are illustrated by applying them to two p...
Subjects
free text keywords: bias function, mean squared error, simulation, finite samples, C13, bias function, mean squared error, simulation, finite samples, jel:C13, Economics and Econometrics, Applied Mathematics, ddc:330
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