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

पैनल सामान्यीकृत न्यूनतम वर्ग (पैनल GLS)×पैनल ओएलएस (पूल्ड ऑर्डिनरी लीस्ट स्क्वेयर्स)×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelRegression model
उद्भव वर्ष1935 / developed for panels 1980s–1990s1986-2003
प्रवर्तकAitken (1935); extended to panel data by Baltagi and othersClassical least squares applied to pooled panels; foundational treatment in Hsiao (2003) and Wooldridge (2010)
प्रकारGeneralized linear regressionLinear panel regression
मौलिक स्रोतWooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
उपनामPanel GLS, Generalized Least Squares for panel data, FGLS panel, feasible GLS panelpooled OLS, pooled ordinary least squares, panel least squares, POLS
संबंधित34
सारांशPanel GLS is a regression method for longitudinal data that explicitly models the non-spherical error structure — heteroscedasticity across units and serial correlation within units — to recover efficient coefficient estimates. Unlike OLS, it weights observations by the inverse of the error covariance matrix, yielding the Best Linear Unbiased Estimator when the error structure is correctly specified.Panel OLS — also called Pooled OLS — applies the classical ordinary least squares estimator to panel data by stacking all cross-sectional units and time periods into a single sample. It estimates one common set of slope coefficients under the assumption that the intercept and slopes are homogeneous across units and time.
ScholarGateडेटासेट
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  1. v1
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  3. PUBLISHED

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