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Model náhodných efektov so štrukturálnymi zlomami×Panelový Hausmanov test×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1998–2000s1978
TvorcaBai & Perron (break detection); Baltagi (panel RE framework)Jerry A. Hausman
TypPanel regression with regime shiftsSpecification test
Pôvodný zdrojBai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗
Ďalšie názvyRE model with structural breaks, break-adjusted random effects, random effects break model, panel RE with regime shiftsHausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Príbuzné55
ZhrnutieThe 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.The Hausman specification test for panel data determines whether individual-specific effects are correlated with the regressors — a correlation that would make the random effects estimator inconsistent. A statistically significant result favours the fixed effects model; a non-significant result supports the more efficient random effects model.
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ScholarGatePorovnať metódy: Structural Break Random Effects Model · Panel Hausman Test. Získané 2026-06-17 z https://scholargate.app/sk/compare