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Panel OLS (Pooled Ordinary Least Squares)×Hausman-testen for paneldata×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår1986-20031978
OphavspersonClassical least squares applied to pooled panels; foundational treatment in Hsiao (2003) and Wooldridge (2010)Jerry A. Hausman
TypeLinear panel regressionSpecification test
Oprindelig kildeWooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586Hausman, J. A. (1978). Specification tests in econometrics. Econometrica, 46(6), 1251–1271. DOI ↗
Aliasserpooled OLS, pooled ordinary least squares, panel least squares, POLSHausman endogeneity test, Wu-Hausman test, fixed-vs-random effects test, Hausman chi-squared test
Relaterede45
ResuméPanel 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.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.
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ScholarGateSammenlign metoder: Panel OLS · Panel Hausman Test. Hentet 2026-06-18 fra https://scholargate.app/da/compare