DAVID HARVEY dave.harvey@nottingham.ac.uk
Professor of Econometrics
Improving the length of confidence sets for the date of a break in level and trend when the order of integration is unknown
Harvey, David I.; Leybourne, Stephen J.
Authors
STEVE LEYBOURNE steve.leybourne@nottingham.ac.uk
Professor of Econometrics
Abstract
Harvey and Leybourne (2015) construct confidence sets for the timing of a break in level and/or trend, based on inverting sequences of test statistics for a break at all possible dates. These are valid, in the sense of yielding correct asymptotic coverage, for I(0) or I(1) errors. In constructing the tests, location-dependent weights are chosen for values of the break magnitude parameter such that each test conveniently has the same limit null distribution. By not imposing such a scheme, we show that it is generally possible to significantly shorten the length of the confidence sets, whilst maintaining accurate coverage properties.
Citation
Harvey, D. I., & Leybourne, S. J. (in press). Improving the length of confidence sets for the date of a break in level and trend when the order of integration is unknown. Economics Letters, 145, https://doi.org/10.1016/j.econlet.2016.06.015
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 11, 2016 |
Online Publication Date | Jun 22, 2016 |
Deposit Date | Jul 14, 2016 |
Publicly Available Date | Jul 14, 2016 |
Journal | Economics Letters |
Print ISSN | 0165-1765 |
Electronic ISSN | 0165-1765 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 145 |
DOI | https://doi.org/10.1016/j.econlet.2016.06.015 |
Keywords | Level break; Trend break; Stationary; Unit root; Confidence sets |
Public URL | https://nottingham-repository.worktribe.com/output/793918 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S0165176516302191 |
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Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
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