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Estimátor plne modifikovaných OLS (FMOLS)×Regresia metódou najmenších štvorcov (OLS)×Model fixných efektov pre panelové dáta×
OdborEkonometriaEkonometriaEkonometria
RodinaRegression modelRegression modelRegression model
Rok vzniku199020192014
TvorcaPhillips & Hansen (time series); Pedroni (heterogeneous panels)Wooldridge (textbook treatment); classical least squaresHsiao (textbook treatment); within transformation of panel data
TypCointegrating regression estimatorLinear regressionPanel data regression
Pôvodný zdrojPhillips, P. C. B. & Hansen, B. E. (1990). Statistical Inference in Instrumental Variables Regression with I(1) Processes. Review of Economic Studies, 57(1), 99–125. DOI ↗Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Ďalšie názvyfully modified OLS, Phillips-Hansen FMOLS, Tam Düzeltilmiş OLS (FMOLS)ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonufixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Príbuzné555
ZhrnutieFully Modified OLS, introduced by Phillips and Hansen (1990), estimates the long-run coefficients of a cointegrating relationship among I(1) variables. It applies a semi-parametric correction to ordinary least squares to remove the bias that endogeneity and serial correlation otherwise induce in cointegrated time series or panel data.Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
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ScholarGatePorovnať metódy: FMOLS Estimator · OLS Regression · Panel Fixed Effects. Získané 2026-06-19 z https://scholargate.app/sk/compare