A test for changing trends with monotonic power
Jilin Wu
Economics Letters, 2016, vol. 141, issue C, 15-19
Abstract:
We propose a powerful test for changing trends in which no nuisance parameters are needed to be nonparametrically estimated, and the only inputs required are the regression residuals under the null hypothesis. The new test allows for serial dependence, conditional heteroskedasticity and time-varying unconditional variance in error terms. Monte Carlo experiments show the test has monotonic power against abrupt or smooth structural changes in trends.
Keywords: U-statistic; Deterministic trends; Structural changes; Monotonic power (search for similar items in EconPapers)
JEL-codes: C01 C14 G10 G14 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176516000094
Full text for ScienceDirect subscribers only
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:eee:ecolet:v:141:y:2016:i:c:p:15-19
DOI: 10.1016/j.econlet.2016.01.006
Access Statistics for this article
Economics Letters is currently edited by Economics Letters Editorial Office
More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().