EconPapers    
Economics at your fingertips  
 

ESTIMATION OF LINEAR REGRESSION MODEL WITH AUTOCORRELATED DISTURBANCES

A. Ullah, V. K. Srivastava, Lonnie Magee () and A. Srivastava

Journal of Time Series Analysis, 1983, vol. 4, issue 2, 127-135

Abstract: Abstract. In this paper we have derived the large sample asymptotic approximation for the variance‐covariance matrix of the two stage Prais‐Winston estimator of the regression coefficients. The efficiency properties of this estimator with respect to ordinary least squares, and generalized least squares with a known autocorrelation coefficient are then analysed numerically. The results are useful for the practitioners dealing with moderate size sample data.

Date: 1983
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://doi.org/10.1111/j.1467-9892.1983.tb00364.x

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jtsera:v:4:y:1983:i:2:p:127-135

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0143-9782

Access Statistics for this article

Journal of Time Series Analysis is currently edited by M.B. Priestley

More articles in Journal of Time Series Analysis from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:jtsera:v:4:y:1983:i:2:p:127-135