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Mínimos Quadrados Ordinários (MQO) com Quebra Estrutural×GLS com Quebra Estrutural×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem1960–19981998 (structural break GLS formalization)
Autor originalChow (1960) for the breakpoint test; Bai & Perron (1998) for multiple break estimationBai & Perron (1998); GLS framework by Aitken (1936)
TipoSegmented linear regressionRegression estimator
Fonte seminalBai, 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 ↗
Outros nomesOLS with structural breaks, piecewise OLS, regime-switching OLS, breakpoint regressionGLS with structural breaks, break-adjusted GLS, structural change GLS, regime-switching GLS
Relacionados66
ResumoStructural Break OLS extends ordinary least squares to allow regression coefficients to shift at one or more breakpoints in time or across regimes. Rather than forcing a single coefficient vector across the entire sample, the model partitions the data and estimates a separate OLS regression within each segment, making it appropriate when economic relationships are suspected to change due to policy shifts, crises, or other structural events.Structural Break GLS combines Generalized Least Squares estimation with explicit allowance for regime shifts in the data-generating process. The method estimates separate coefficient vectors for each segment defined by detected break dates while correcting for non-spherical errors — heteroscedasticity or autocorrelation — that frequently accompany structural change, yielding consistent and efficient estimates across all regimes.
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ScholarGateComparar métodos: Structural Break OLS · Structural Break GLS. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare