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- Publisher
- Oxford University Press
- Copyright
- © Published by Oxford University Press.
- Subject
- Articles
- ISSN
- 0034-6527
- eISSN
- 1467-937X
- DOI
- 10.1111/1467-937X.00051
- Publisher site
- See Article on Publisher Site
Abstract
This paper develops methods for constructing asymptotically valid confidence intervals for the date of a single break in multivariate time series, including I(0), I(1), and deterministically trending regressors. Although the width of the asymptotic confidence interval does not decrease as the sample size increases, it is inversely related to the number of series which have a common break date, so there are substantial gains to multivariate inference about break dates. These methods are applied to two empirical examples: the mean growth rate of output in three European countries, and the mean growth rate of U.S. consumption, investment, and output.
Journal
The Review of Economic Studies – Oxford University Press
Published: Jul 1, 1998