Difference based Ridge and Liu type Estimators in Semiparametric Regression Models
Esra Akdeniz Duran (),
Wolfgang Karl HÃ¤rdle and
Authors registered in the RePEc Author Service: Wolfgang Karl Härdle ()
SFB 649 Discussion Papers from Humboldt University, Collaborative Research Center 649
We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = XÎ² + f + Îµ. Both estimators are analysed and compared in the sense of mean-squared error. We consider the case of independent errors with equal variance and give conditions under which the proposed estimators are superior to the unbiased difference based estimation technique. We extend the results to account for heteroscedasticity and autocovariance in the error terms. Finally, we illustrate the performance of these estimators with an application to the determinants of electricity consumption in Germany.
Keywords: Difference based estimator; Differencing estimator, Differencing matrix, Liu estimator, Liu type estimator, Multicollinearity, Ridge regression estimator, Semiparametric model (search for similar items in EconPapers)
JEL-codes: C14 C51 (search for similar items in EconPapers)
Pages: 25 pages
New Economics Papers: this item is included in nep-ecm and nep-ene
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Journal Article: Difference based ridge and Liu type estimators in semiparametric regression models (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:hum:wpaper:sfb649dp2011-014
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