手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| Bai-Perron 複数構造切断検定× | 回帰モデルにおけるパラメータ不安定性の検出：CUSUMテスト× | |
|---|---|---|
| 分野 | 計量経済学 | 計量経済学 |
| 系統 | Hypothesis test | Hypothesis test |
| 提唱年≠ | 1998 | 1975 |
| 提唱者≠ | Jushan Bai & Pierre Perron | Brown, Durbin & Evans |
| 種類≠ | Sequential hypothesis test for multiple structural breaks | Recursive residual test |
| 原典≠ | 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 ↗ |
| 別名 | 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 |
| 関連≠ | 2 | 3 |
| 概要≠ | 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. |
| ScholarGateデータセット ↗ |
|
|