विधियों की तुलना करें

	पैनल रैंडम इफेक्ट्स मॉडल	पैनल हॉसमैन टेस्ट
क्षेत्र	अर्थमिति	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	1966	1978
प्रवर्तक	Balestra & Nerlove	Jerry A. Hausman
प्रकार	Panel data estimator	Specification test
मौलिक स्रोत	Balestra, P., & Nerlove, M. (1966). Pooling cross section and time series data in the estimation of a dynamic model: The demand for natural gas. Econometrica, 34(3), 585–612.	Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271.
उपनाम	random effects estimator, RE model, GLS random effects, error components model	Hausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
संबंधित	5	5
सारांश	The panel random effects (RE) model treats individual-specific effects as random draws from a population distribution rather than fixed constants, enabling efficient estimation by generalised least squares and allowing inference about time-invariant regressors that are swept away in fixed effects estimation.	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.