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                                       Details for article 7 of 20 found articles
 
 
  Bias in the ordinary least squares estimator in the dynamic linear regression model with autocorrelated disturbances
 
 
Title: Bias in the ordinary least squares estimator in the dynamic linear regression model with autocorrelated disturbances
Author: Inder, Brett A.
Appeared in: Communications in statistics
Paging: Volume 16 (1987) nr. 3 pages 791-815
Year: 1987
Contents: We consider the bias in the Ordinary Least Squares estimator in the linear regression model with a lagged dependent variable as regressor. Results are obtained with independent and auto-correlated disturbances. Asymptotic results are obtained analytically, and finite sample results based on a Monte Carlo study. The substantial biases found suggest the need for an alternative estimator to Ordinary Least Squares and powerful tests for autocorrelated disturbances in the dynamic model.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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