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| Bai-Perron 다중 구조 변동 검정× | CUSUM 검정: 회귀 모형에서 모수 불안정성 탐지× | |
|---|---|---|
| 분야 | 계량경제학 | 계량경제학 |
| 계열 | Hypothesis test | Hypothesis test |
| 기원 연도≠ | 1998 | 1975 |
| 창시자≠ | Jushan Bai & Pierre Perron | Brown, Durbin & Evans |
| 유형≠ | Sequential hypothesis test for multiple structural breaks | Recursive residual test |
| 원전≠ | Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗ | 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 ↗ |
| 별칭 | Bai-Perron Multiple Break Test, Multiple Structural Change Test, Sequential Structural Break Test, Çoklu Yapısal Kırılma Testi | Cumulative Sum Test, CUSUMSQ Test, Brown-Durbin-Evans Test, Kümülatif Toplam Testi |
| 관련≠ | 2 | 3 |
| 요약≠ | The Bai-Perron test, introduced by Jushan Bai and Pierre Perron in their landmark 1998 Econometrica paper, is a least-squares-based procedure for detecting, estimating, and testing the number of structural breaks in a linear regression model estimated on time-series data. Unlike single-break tests, it simultaneously identifies multiple change-points in a sample, providing economists and empirical researchers with a rigorous, data-driven way to locate parameter instability across time. | 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. |
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