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ARIMA model sa strukturnim lomom×Čouov test za strukturni prekid×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1989-19981960
TvoracPerron (1989); extended by Bai & Perron (1998)Gregory C. Chow
TipTime series model with regime detectionTest for structural break in regression coefficients
Temeljni izvorBai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗Chow, G. C. (1960). Tests of equality between sets of coefficients in two linear regressions. Econometrica, 28(3), 591–605. DOI ↗
Drugi naziviARIMA with structural breaks, break-adjusted ARIMA, piecewise ARIMA, ARIMA with regime shiftsChow breakpoint test, structural break test, Chow yapısal kırılma testi
Srodne32
SažetakA structural break ARIMA model extends the standard ARIMA framework by explicitly identifying and accommodating one or more abrupt shifts in the level, trend, or dynamics of a time series. Rather than forcing a single set of ARIMA parameters across the entire sample, it fits separate ARIMA specifications for each regime defined by the detected break dates.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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ScholarGateUporedite metode: Structural Break ARIMA Model · Chow Test. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare