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حوزهاقتصادسنجیاقتصادسنجی
خانوادهHypothesis testRegression model
سال پیدایش19931960
پدیدآورDonald AndrewsGregory C. Chow
نوعSupremum test for structural changeTest for structural break in regression coefficients
منبع بنیادینAndrews, 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 ↗
نام‌های دیگرsup-Wald Test, Andrews Breakpoint Test, Unknown Structural Break Test, Quandt Likelihood Ratio TestChow breakpoint test, structural break test, Chow yapısal kırılma testi
مرتبط32
خلاصهThe 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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ScholarGateمقایسهٔ روش‌ها: Quandt-Andrews Test · Chow Test. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare