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Quandt-Andrews-testen for ukendte strukturelle brud×CUSUM-test: Detektering af parameterinstabilitet i regressionsmodeller×
FagområdeØkonometriØkonometri
FamilieHypothesis testHypothesis test
Oprindelsesår19931975
OphavspersonDonald AndrewsBrown, Durbin & Evans
TypeSupremum test for structural changeRecursive residual test
Oprindelig kildeAndrews, D. W. K. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4), 821–856. DOI ↗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. DOI ↗
Aliassersup-Wald Test, Andrews Breakpoint Test, Unknown Structural Break Test, Quandt Likelihood Ratio TestCumulative Sum Test, CUSUMSQ Test, Brown-Durbin-Evans Test, Kümülatif Toplam Testi
Relaterede33
ResuméThe Quandt-Andrews test, formalized by Andrews (1993), detects structural breaks in regression parameters when the breakpoint date is unknown a priori. It sweeps all candidate break dates within a trimmed interior of the sample, computes a Wald (or LM/LR) statistic at each candidate, and reports the supremum of those statistics. Applied economists and time-series analysts use it to test whether coefficients remain stable across a full estimation window without needing to specify when the break occurred.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.
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ScholarGateSammenlign metoder: Quandt-Andrews Test · CUSUM Test. Hentet 2026-06-18 fra https://scholargate.app/da/compare