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構造的ブレーク・ランダム効果モデル×Panel Hausman Test×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年1998–2000s1978
提唱者Bai & Perron (break detection); Baltagi (panel RE framework)Jerry A. Hausman
種類Panel regression with regime shiftsSpecification test
原典Bai, 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 ↗
別名RE 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
関連55
概要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.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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ScholarGate手法を比較: Structural Break Random Effects Model · Panel Hausman Test. 2026-06-17に以下より取得 https://scholargate.app/ja/compare