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Analiza panel podataka×Panel OLS (Pooled Ordinary Least Squares)×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1966–19781986-2003
TvoracBalestra & Nerlove (1966); Mundlak (1978); Hausman (1978)Classical least squares applied to pooled panels; foundational treatment in Hsiao (2003) and Wooldridge (2010)
TipPanel regression frameworkLinear panel regression
Temeljni izvorBaltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030539528Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
Drugi nazivilongitudinal data analysis, pooled cross-sectional time-series analysis, panel regression, data panel analysispooled OLS, pooled ordinary least squares, panel least squares, POLS
Srodne54
SažetakPanel data analysis models data that track multiple units — countries, firms, individuals — over time, enabling researchers to control for unobserved unit-level heterogeneity that would otherwise bias cross-sectional or time-series estimates. The two core specifications are fixed effects and random effects, selected via the Hausman test.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.
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ScholarGateUporedite metode: Panel Data Analysis · Panel OLS. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare