EconPapers    
Economics at your fingertips  
 

Efficiency of OLS Relative to C-O for Trended X and Positive Autocorrelation Coefficient

Asraul Hoque

No 266884, Department of Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics

Abstract: It is well known that the OLS estimator, though unbiased, is inefficient in the presence of autocorrelated disturbances. Further, it is also widely accepted that C-0 (Cochrane-Orcutt) estimator is more efficient than OLS estimator. However, Kadiyala (1968) and Maeshiro (1976, 1978) have argued that OLS is more efficient than C-0 when the independent variable is trended and the autocorrelat ion coefficient is positive. We re-examine this issue and show that C-0 is more efficient than OLS for the model without an intercept term.

Keywords: Productivity; Analysis (search for similar items in EconPapers)
Pages: 18
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/266884/files/monash-075.pdf (application/pdf)
https://ageconsearch.umn.edu/record/266884/files/monash-075.pdf?subformat=pdfa (application/pdf)

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:ags:monebs:266884

DOI: 10.22004/ag.econ.266884

Access Statistics for this paper

More papers in Department of Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-12-14
Handle: RePEc:ags:monebs:266884