Abstract
In this paper we study the least-squares change-point estimator in regressions with stationary and invertible I(d) regressors and disturbances. We find that the least-squares estimator remains consistent when there is a one-time break, but it may identify a spurious change when there is none.
Original language | English |
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Pages (from-to) | 147-155 |
Number of pages | 9 |
Journal | Economics Letters |
Volume | 70 |
Issue number | 2 |
DOIs | |
State | Published - Feb 2001 |
Keywords
- C22
- Change point estimation
- Fractional Brownian motion
- Spurious change