Testing for Trend in the Presence of Autoregressive Error: A Comment
Pierre Perron and
No WP2011-052, Boston University - Department of Economics - Working Papers Series from Boston University - Department of Economics
Roy, Falk and Fuller (2004) presented a procedure aimed at providing a test for the value of the slope of a trend function that has (nearly) controlled size in autoregressive models whether the noise component is stationary or has a unit root. In this note, we document errors in both their theoretical results and the simulations they reported. Once these are corrected for, their procedure delivers a test that has very liberal size in the case with a unit root so that the stated goal is not achieved. Interestingly, the mistakes in the code used to generate the simulated results (which is the basis for the evidence about the reliability of the method) are such that what they report is essentially equivalent to the size and power of the test proposed by Perron and Yabu (2009), which was shown to have the standard Normal distribution whether the noise is stationary or has a unit root.
Keywords: linear trend; unit root; median-unbiased estimates; GLS procedure; super efficient estimates. (search for similar items in EconPapers)
Pages: 13 pages
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Journal Article: Testing for Trend in the Presence of Autoregressive Error: A Comment (2012)
Working Paper: Testing for Trend in the Presence of Autoregressive Error: A Comment (2011)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bos:wpaper:wp2011-052
Access Statistics for this paper
More papers in Boston University - Department of Economics - Working Papers Series from Boston University - Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Program Coordinator ().