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Análise de Dados em Painel com Rupturas Estruturais×Regressão por Limiar×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem1998-20102000
Autor originalBai & Perron (1998); extended to panels by Bai (2010) and Joseph et al.Bruce E. Hansen
TipoPanel time-series model with regime shiftsNonlinear regime-switching regression
Fonte seminalBai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI ↗Hansen, B. E. (2000). Sample Splitting and Threshold Estimation. Econometrica, 68(3), 575-603. DOI ↗
Outros nomespanel structural break test, break-point panel model, panel change-point analysis, regime-shift panel analysisthreshold model, regime-switching regression, sample splitting model, Eşik Değer Regresyonu (Threshold Regression)
Relacionados45
ResumoStructural 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.Threshold regression is a nonlinear, regime-switching model in which the regression parameters take different values above and below an estimated threshold value of a threshold variable. The sample-splitting and threshold-estimation framework was developed by Bruce E. Hansen (2000) and is widely used for time-series and panel data with structural breaks and regime-dependent relationships.
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ScholarGateComparar métodos: Structural Break Panel Data Analysis · Threshold Regression. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare