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Mínimos Quadrados Ordinários (MQO) com Quebra Estrutural×Teste de Raiz Unitária Aumentado de Dickey-Fuller (ADF)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem1960–19981979–1984
Autor originalChow (1960) for the breakpoint test; Bai & Perron (1998) for multiple break estimationSaid & Dickey (1984); building on Dickey & Fuller (1979)
TipoSegmented linear regressionHypothesis test (unit root)
Fonte seminalBai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599–607. DOI ↗
Outros nomesOLS with structural breaks, piecewise OLS, regime-switching OLS, breakpoint regressionADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test
Relacionados65
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.The Augmented Dickey-Fuller test is the standard procedure for determining whether a univariate time series contains a unit root — that is, whether the series is non-stationary. It extends the original Dickey-Fuller test by including lagged difference terms that absorb serial correlation in the residuals, making the test valid for a wide range of time-series processes encountered in economics and finance.
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ScholarGateComparar métodos: Structural Break OLS · Augmented Dickey-Fuller unit root test. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare