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| CUSUM 검정: 회귀 모형에서 모수 불안정성 탐지× | 구조적 변화에 대한 Chow 검정× | |
|---|---|---|
| 분야 | 계량경제학 | 계량경제학 |
| 계열≠ | Hypothesis test | Regression model |
| 기원 연도≠ | 1975 | 1960 |
| 창시자≠ | Brown, Durbin & Evans | Gregory C. Chow |
| 유형≠ | Recursive residual test | Test for structural break in regression coefficients |
| 원전≠ | Brown, 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 ↗ |
| 별칭≠ | Cumulative Sum Test, CUSUMSQ Test, Brown-Durbin-Evans Test, Kümülatif Toplam Testi | Chow breakpoint test, structural break test, Chow yapısal kırılma testi |
| 관련≠ | 3 | 2 |
| 요약≠ | The 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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