← Search

Review of Economic Studies Vol. 65 No. 3 1998

Testing For and Dating Common Breaks in Multivariate Time Series

Jushan Bai1; Robin L. Lumsdaine2; James H. Stock2,3

1 Massachusetts Institute of Technology · 2 National Bureau of Economic Research · 3 Harvard University

open access

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.

DOI
10.1111/1467-937x.00051
Volume
65
Issue
3
Pages
395-432
Language
en
Sources
bibtex:phds-export.bib openalex crossref

Cite