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Hausman testā par strukturālajām izmaiņām×Strukturālās izmaiņas ar nejaušiem efektiem modelis×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads1978 (base); extended through 1990s–2000s1998–2000s
AutorsJerry A. Hausman (base test, 1978); structural break extension developed in panel econometrics literatureBai & Perron (break detection); Baltagi (panel RE framework)
TipsSpecification testPanel regression with regime shifts
PirmavotsHausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗
Citi nosaukumiHausman test under structural change, structural change Hausman specification test, break-robust Hausman test, panel specification test with breaksRE model with structural breaks, break-adjusted random effects, random effects break model, panel RE with regime shifts
Saistītās55
KopsavilkumsThe Structural Break Hausman Test extends the classical Hausman (1978) specification test to panel or time-series settings where the data-generating process shifts at one or more break points. By detecting structural breaks first and then running the Hausman comparison within each regime, researchers can reliably choose between fixed effects and random effects estimators even when the underlying relationship changes over time.The structural break random effects model extends standard panel RE estimation by allowing one or more breakpoints at which slope coefficients or error variances shift across time. It combines structural change detection (e.g., Bai-Perron) with the GLS-based random effects estimator, producing regime-specific parameter estimates while retaining the efficiency gains of pooling individual-level variation as random draws from a common distribution.
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ScholarGateSalīdzināt metodes: Structural Break Hausman Test · Structural Break Random Effects Model. Izgūts 2026-06-17 no https://scholargate.app/lv/compare