Methoden vergleichen

	Bai-Perron-Test für multiple strukturelle Brüche	CUSUM-Test: Erkennung von Parameterinstabilität in Regressionsmodellen
Fachgebiet	Ökonometrie	Ökonometrie
Familie	Hypothesis test	Hypothesis test
Entstehungsjahr	1998	1975
Urheber	Jushan Bai & Pierre Perron	Brown, Durbin & Evans
Typ	Sequential hypothesis test for multiple structural breaks	Recursive residual test
Wegweisende Quelle	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78.	Brown, R. L., Durbin, J., & Evans, J. M. (1975). Techniques for testing the constancy of regression relationships over time. Journal of the Royal Statistical Society: Series B, 37(2), 149–192.
Aliasnamen	Bai-Perron Multiple Break Test, Multiple Structural Change Test, Sequential Structural Break Test, Çoklu Yapısal Kırılma Testi	Cumulative Sum Test, CUSUMSQ Test, Brown-Durbin-Evans Test, Kümülatif Toplam Testi
Verwandt	2	3
Zusammenfassung	The Bai-Perron test, introduced by Jushan Bai and Pierre Perron in their landmark 1998 Econometrica paper, is a least-squares-based procedure for detecting, estimating, and testing the number of structural breaks in a linear regression model estimated on time-series data. Unlike single-break tests, it simultaneously identifies multiple change-points in a sample, providing economists and empirical researchers with a rigorous, data-driven way to locate parameter instability across time.	The CUSUM (Cumulative Sum) and CUSUMSQ (Cumulative Sum of Squares) tests, introduced by Brown, Durbin, and Evans (1975), assess whether the coefficients of a linear regression model remain constant over time. They are standard tools in econometrics for detecting structural breaks, policy shifts, or regime changes in time-series data without requiring prior knowledge of when a break occurs.