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                                       Details for article 11 of 23 found articles
 
 
  Estimating bivariate errors-in-variables models with instrumental variables
 
 
Title: Estimating bivariate errors-in-variables models with instrumental variables
Author: Clapp, John M.
Dey, Dipak K.
Appeared in: Communications in statistics
Paging: Volume 22 (1993) nr. 3 pages 863-876
Year: 1993
Contents: The bivariate errors-in-variables model is considered with a new choice of instrumental variables. A new estimate of the regression coefficient, based on these instrumental variables, has attractive properties over the ordinary least square estimator and Wald's estimator. Monte Carlo simulation studies indicate that the proposed estimator is better than its competitors over a range of plausible parameter values, where "better" is defined in terms of mean square error and Pitman's nearness criterion. Finally, we use actual data from an assessment equity study to show that our proposed method produces estimators that, appear superior to those produced by the ordinary least square estimator and Wald's estimator
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 11 of 23 found articles
 
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