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Quandtův-Andrewsův test pro neznámé strukturální změny×Chowův test strukturální změny×
OborEkonometrieEkonometrie
RodinaHypothesis testRegression model
Rok vzniku19931960
TvůrceDonald AndrewsGregory C. Chow
TypSupremum test for structural changeTest for structural break in regression coefficients
Původní zdrojAndrews, D. W. K. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4), 821–856. DOI ↗Chow, G. C. (1960). Tests of equality between sets of coefficients in two linear regressions. Econometrica, 28(3), 591–605. DOI ↗
Další názvysup-Wald Test, Andrews Breakpoint Test, Unknown Structural Break Test, Quandt Likelihood Ratio TestChow breakpoint test, structural break test, Chow yapısal kırılma testi
Příbuzné32
ShrnutíThe 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 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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ScholarGatePorovnat metody: Quandt-Andrews Test · Chow Test. Získáno 2026-06-18 z https://scholargate.app/cs/compare