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Panelové kointegrační testy (Pedroni, Kao, Westerlund)×Estimátor rozšířené průměrné skupiny (AMG)×Model panelových dat s fixními efekty×
OborEkonometrieEkonometrieEkonometrie
RodinaRegression modelRegression modelRegression model
Rok vzniku200420102014
TvůrcePedroni; Kao; WesterlundEberhardt & Teal; Bond & EberhardtHsiao (textbook treatment); within transformation of panel data
TypPanel cointegration testHeterogeneous panel data estimatorPanel data regression
Původní zdrojPedroni, P. (2004). Panel Cointegration: Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis. Econometric Theory, 20(3), 597–625. DOI ↗Eberhardt, M. & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Economics Series Working Papers, No. 515, University of Oxford. link ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Další názvyPedroni cointegration test, Kao cointegration test, Westerlund cointegration test, panel long-run equilibrium testsAMG estimator, augmented mean group, Artırılmış Ortalama Grup Tahmincisi (AMG)fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Příbuzné345
ShrnutíPanel cointegration tests check whether a set of integrated variables share a stable long-run equilibrium relationship across a panel of cross-sectional units. Pedroni (1999, 2004) provides heterogeneous-panel tests with seven statistics, Kao (1999) gives an ADF-based homogeneous-panel test, and Westerlund (2007) adds error-correction-based tests robust to structural breaks and cross-sectional dependence.The Augmented Mean Group estimator, developed by Eberhardt and Teal (2010), is a panel data method for estimating heterogeneous slope coefficients in the presence of cross-sectional dependence. It approximates the unobserved common dynamic process driving all units and folds it into unit-by-unit regressions, then averages the results.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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ScholarGatePorovnat metody: Panel Cointegration Tests · Augmented Mean Group Estimator · Panel Fixed Effects. Získáno 2026-06-18 z https://scholargate.app/cs/compare