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Prova CUSUM: Detecció d'inestabilitat de paràmetres en models de regressió×Test de Chow per a la Ruptura Estructural×
CampEconometriaEconometria
FamíliaHypothesis testRegression model
Any d'origen19751960
Autor originalBrown, Durbin & EvansGregory C. Chow
TipusRecursive residual testTest for structural break in regression coefficients
Font seminalBrown, 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 ↗Chow, G. C. (1960). Tests of equality between sets of coefficients in two linear regressions. Econometrica, 28(3), 591–605. DOI ↗
ÀliesCumulative Sum Test, CUSUMSQ Test, Brown-Durbin-Evans Test, Kümülatif Toplam TestiChow breakpoint test, structural break test, Chow yapısal kırılma testi
Relacionats32
ResumThe 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.The Chow test, introduced by Gregory Chow in 1960, checks whether the coefficients of a linear regression are the same across two subsamples — that is, whether a structural break occurs at a known point such as a policy change, crisis, or regime shift. It compares the fit of a single pooled regression with the combined fit of two separate regressions; a large improvement from splitting indicates the relationship differs between the two periods or groups.
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ScholarGateCompara mètodes: CUSUM Test · Chow Test. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare