A comparison Of Some Semiparametric Estimators For consumption function Regression | ||
| journal of Economics And Administrative Sciences/ University of baghdad | ||
| Article 1, Volume 18, Issue 67, July 2012, Pages 273-288 | ||
| Abstract | ||
| This article aims to explore the importance of estimating the a semiparametric regression function ,where we suggest a new estimator beside the other combined estimators and then we make a comparison among them by using simulation technique . Through the simulation results we find that the suggest estimator is the best with the first and second models ,wherealse for the third model we find Burman and Chaudhuri (B&C) is best. | ||
| Keywords | ||
| LLS; Combining Parameter; Burman and chavdhvri estimator; FAN and ullah estimator; suggested | ||
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