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| 구조적 단절 고정효과 모형× | 구조적 변동 패널 데이터 분석× | |
|---|---|---|
| 분야 | 계량경제학 | 계량경제학 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1998 (Bai-Perron); FE estimator classical | 1998-2010 |
| 창시자≠ | Bai & Perron (structural break testing); Mundlak / within-group estimator tradition | Bai & Perron (1998); extended to panels by Bai (2010) and Joseph et al. |
| 유형≠ | Panel regression with regime change | Panel time-series model with regime shifts |
| 원전 | Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗ | Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗ |
| 별칭 | FE model with structural breaks, break-adjusted fixed effects, panel fixed effects with regime shifts, structural change fixed effects estimator | panel structural break test, break-point panel model, panel change-point analysis, regime-shift panel analysis |
| 관련≠ | 6 | 4 |
| 요약≠ | The structural break fixed effects model extends the standard within-group (FE) panel estimator by allowing the slope coefficients to shift at one or more detected break dates. Each unit's unobserved time-invariant heterogeneity is still removed by demeaning, but separate coefficient regimes are estimated for each sub-period, capturing policy shifts, crises, or technological transitions that would otherwise bias a single-regime FE estimate. | Structural break panel data analysis detects and estimates points in time — break dates — where the underlying regression coefficients shift permanently across a panel of cross-sectional units observed over multiple periods. By jointly exploiting cross-sectional and time-series variation, it offers sharper identification of regime shifts than single-series break tests, and it delivers separate coefficient estimates for each regime before and after each break. |
| ScholarGate데이터셋 ↗ |
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