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Model ARIMA Patahan Struktural×Uji Chow untuk Perubahan Struktural×
BidangEkonometrikaEkonometrika
KeluargaRegression modelRegression model
Tahun asal1989-19981960
PencetusPerron (1989); extended by Bai & Perron (1998)Gregory C. Chow
TipeTime series model with regime detectionTest for structural break in regression coefficients
Sumber perintisBai, 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 ↗
AliasARIMA with structural breaks, break-adjusted ARIMA, piecewise ARIMA, ARIMA with regime shiftsChow breakpoint test, structural break test, Chow yapısal kırılma testi
Terkait32
RingkasanA 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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ScholarGateBandingkan metode: Structural Break ARIMA Model · Chow Test. Diakses 2026-06-17 dari https://scholargate.app/id/compare