Testing for a trend with persistent errors

Graham Elliott ()

Journal of Econometrics, 2020, vol. 219, issue 2, 314-328

Abstract: We develop new tests for the coefficient on a time trend in a regression of a variable on a constant and time trend where there is potentially strong serial correlation. This serial correlation can also include a unit root. We obtain tests under two different assumptions on the initial value for the stochastic component of the variable being examined, either this being zero asymptotically and also allowing the initial condition to be drawn from its unconditional distribution. We find that statistics perform better under the second of these assumptions, which is the more natural assumption to make.

Keywords: Composite hypothesis; Trend (search for similar items in EconPapers)
JEL-codes: C12 C21 C22 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304407620301019
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Testing for a trend with persistent errors (2020)
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:eee:econom:v:219:y:2020:i:2:p:314-328

DOI: 10.1016/j.jeconom.2020.03.006

Access Statistics for this article

Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson

More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().