In the presence of multicollinearity the OLS estimator remains unbiased, but the variances and the absolute values of the parameter estimations are tend to be large. Various biased estimators are developed and proposed in order to eliminate ill conditioning of X’X matrix and reduce the variance. One of them is r-k-d class estimator. This estimator is quite flexible and extensive because it contains 7 different estimators as special cases. The main aim of this paper is to show how usable this estimator is in empirical studies
In the presence of multicollinearity the OLS estimator remains unbiased, but the variances and the absolute values of the parameter estimations tend to be large. Various biased estimators are developed and proposed in order to eliminate ill conditioning of X'X matrix and reduce the variance. One of them is the r-k-d class estimator. This estimator is quite flexible and extensive because it contains 7 different estimators as special cases. The main objective of this paper is to show how usable this estimator is in empirical studies
Alan : Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Ulusal
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