EconPapers    
Economics at your fingertips  
 

Testing for Serial Independence in Error Components Models: Finite Sample Results

John P. Small

No 263741, Department of Economics Discussion Papers from University of Canterbury - New Zealand

Abstract: A popular class of tests for simple autoregressive processes is considered in the context of the error components model previously discussed by Revanker (1980) and King (1982). We show that the expected value of all such test statistics is further from the rejection region in this model, relative to the classical model. More importantly, as the degree of positive autocorrelation becomes very strong, the power of each test must decline to its level of significance, irrespective of the data.

Keywords: Research and Development/Tech Change/Emerging Technologies; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 15
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/263741/files/canterbury-nz-067.pdf (application/pdf)
https://ageconsearch.umn.edu/record/263741/files/c ... 7.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:canzdp:263741

DOI: 10.22004/ag.econ.263741

Access Statistics for this paper

More papers in Department of Economics Discussion Papers from University of Canterbury - New Zealand Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-12-14
Handle: RePEc:ags:canzdp:263741