השוואת שיטות

	מודל אפקטים אקראיים של שבר מבני	מבחן האוסמן לנתוני פאנל
תחום	אקונומטריקה	אקונומטריקה
משפחה	Regression model	Regression model
שנת המקור	1998–2000s	1978
הוגה השיטה	Bai & Perron (break detection); Baltagi (panel RE framework)	Jerry A. Hausman
סוג	Panel regression with regime shifts	Specification test
מקור מכונן	Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78.	Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271.
כינויים	RE model with structural breaks, break-adjusted random effects, random effects break model, panel RE with regime shifts	Hausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
קשורות	5	5
תקציר	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.