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Determining the Effect of Some Biasing Parameter Selection Methods for the Two Stage Ridge Regression Estimator

Nimet Özbay, Selma Toker
2018 Sakarya University Journal of Science  
The use of biased estimation techniques is inevitable in connection with multicollinearity in simultaneous equations model. Two stage ridge estimator is a pioneer biased estimator which is used to recover the problems that are originated from the multicollinearity. The noteworthy issue regarding two stage ridge estimator is selection of its biasing parameter. Based on the works in the literature related to ridge estimator in a linear regression model, several methods on selection of the biasing
more » ... tion of the biasing parameter of the two stage ridge estimator are investigated in this paper. To demonstrate the best estimators of the biasing parameter, a Monte Carlo experiment is conducted. The utility of the proposed estimators of the biasing parameter for two stage ridge estimator is observed in terms of mean square error criterion.
doi:10.16984/saufenbilder.422168 fatcat:2jicp7xn6jfa7lcohlgiwag4ma