Change point estimation in regressions with I(d) variables

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

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 languageEnglish
Pages (from-to)147-155
Number of pages9
JournalEconomics Letters
Volume70
Issue number2
DOIs
StatePublished - Feb 2001

Keywords

  • C22
  • Change point estimation
  • Fractional Brownian motion
  • Spurious change

Fingerprint

Dive into the research topics of 'Change point estimation in regressions with I(d) variables'. Together they form a unique fingerprint.

Cite this