The Locally Unbiased Two-Sided Durbin-Watson Test
Simone D. Grose and
Maxwell L. King
No 267135, Department of Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics
Abstract:
An algorithm for. constructing locally unbiased two-sided critical regions for the Durbin-Watson test is presented. It can also be applied to other two-sided tests. Empirical calculations suggest that, at least for the Durbin-Watson test, the current practice of using equal-tailed critical values yields approximately locally unbiased critical regions.
Keywords: Research; and; Development/Tech; Change/Emerging; Technologies (search for similar items in EconPapers)
Pages: 16
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/267135/files/monash-108.pdf (application/pdf)
https://ageconsearch.umn.edu/record/267135/files/monash-108.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:267135
DOI: 10.22004/ag.econ.267135
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 ().