ScholarGate
सहायक

विधियों की तुलना करें

चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

Robust Random Effects Model×पैनल रैंडम इफेक्ट्स मॉडल×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष1980s–2000s1966
प्रवर्तकWooldridge; White (sandwich covariance); ArellanoBalestra & Nerlove
प्रकारPanel GLS estimator with robust inferencePanel data estimator
मौलिक स्रोतWooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586Balestra, 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. DOI ↗
उपनामrobust RE model, sandwich random effects estimator, cluster-robust random effects, GLS-robust RErandom effects estimator, RE model, GLS random effects, error components model
संबंधित55
सारांशThe Robust Random Effects model estimates panel data relationships using the GLS random effects estimator while replacing the conventional standard errors with sandwich (heteroscedasticity- and cluster-robust) variance estimates. This protects inference against arbitrary within-group correlation and heteroscedasticity without discarding the efficiency gains of random effects when unit-specific effects are genuinely uncorrelated with the regressors.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.
ScholarGateडेटासेट
  1. v1
  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

खोज पर जाएँ स्लाइड डाउनलोड करें

ScholarGateविधियों की तुलना करें: Robust Random Effects Model · Panel Random Effects Model. 2026-06-15 को यहाँ से प्राप्त https://scholargate.app/hi/compare