विधियों की तुलना करें

	बायेसियन हॉसमैन परीक्षण	निश्चित प्रभाव मॉडल (Fixed Effects Model)
क्षेत्र	अर्थमिति	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	1978 (classical); Bayesian adaptations 1990s–2000s	1971–1978
प्रवर्तक	Bayesian reformulation of Hausman (1978); developed across Bayesian econometrics literature	Mundlak (1978); Nerlove (1971); classical panel econometrics
प्रकार	Specification test / model comparison	Panel regression estimator
मौलिक स्रोत	Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271.	Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030538002
उपनाम	Bayesian specification test, Bayesian endogeneity test, Bayesian FE vs RE test, Bayesian Durbin-Wu-Hausman	FE model, within estimator, least squares dummy variable, LSDV regression
संबंधित	5	5
सारांश	The Bayesian Hausman test is a Bayesian reformulation of Hausman's (1978) classical specification test, used to assess endogeneity or to choose between fixed effects and random effects panel models. Instead of a chi-squared test statistic, it uses posterior model probabilities or Bayes factors to compare competing specifications, fully incorporating prior uncertainty about model parameters.	The fixed effects (FE) model is the workhorse estimator for panel data when unobserved unit-specific characteristics are suspected to correlate with the regressors. By absorbing each entity's time-invariant heterogeneity into a separate intercept, FE isolates the causal effect of within-unit variation and eliminates omitted-variable bias from time-constant confounders.