Inference on a structural break in trend with fractionally integrated errors
Files
Accepted manuscript
Date
2016-07-01
Authors
Chang, Seong Yeon
Perron, Pierre
Version
OA Version
Citation
Seong Yeon Chang, Pierre Perron. 2016. "Inference on a Structural Break in Trend with Fractionally Integrated Errors." JOURNAL OF TIME SERIES ANALYSIS, Volume 37, Issue 4, pp. 555 - 574 (20).
Abstract
Perron and Zhu (2005) established the consistency, convergence rate and limiting distributions of parameter estimates in time trends with a change in slope with or without a concurrent level change for the cases with I(1) or I(0) errors. We extend their analysis to the general case of fractionally integrated errors with memory parameter d∗. Our results uncover interesting features; e.g., with a level shift allowed, the convergence rate for the break date estimate is the same for all d∗∈(−0.5,0.5). In other cases, it is decreasing as d∗ increases. We also provide results about the so-called spurious break issue.