The Kalman filter method for break point estimation in unit root tests


Emirmahmutoglu F., Kose N., Yalcin Y.

APPLIED ECONOMICS LETTERS, cilt.15, sa.3, ss.193-198, 2008 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 15 Sayı: 3
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1080/13504850600721866
  • Dergi Adı: APPLIED ECONOMICS LETTERS
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.193-198
  • Gazi Üniversitesi Adresli: Evet

Özet

In this study, in addition to Zivot-Andrews (1992), Perron (1997) and Schwarz Bayesian Criteria (SBC) approaches of the true break point estimation performances of the Kalman filter method is examined using Monte Carlo simulation experiments. Our simulation results show that the SBC and Kalman filter methods both exhibit a good performance in estimating true break point.