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Augmented Mean Group (AMG) Schätzer×Methode der kleinsten Quadrate (OLS)×Panel-Kointegrationstests (Pedroni, Kao, Westerlund)×
FachgebietÖkonometrieÖkonometrieÖkonometrie
FamilieRegression modelRegression modelRegression model
Entstehungsjahr201020192004
UrheberEberhardt & Teal; Bond & EberhardtWooldridge (textbook treatment); classical least squaresPedroni; Kao; Westerlund
TypHeterogeneous panel data estimatorLinear regressionPanel cointegration test
Wegweisende QuelleEberhardt, M. & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Economics Series Working Papers, No. 515, University of Oxford. link ↗Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860Pedroni, 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 ↗
AliasnamenAMG estimator, augmented mean group, Artırılmış Ortalama Grup Tahmincisi (AMG)ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonuPedroni cointegration test, Kao cointegration test, Westerlund cointegration test, panel long-run equilibrium tests
Verwandt453
ZusammenfassungThe 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.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).Panel 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.
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ScholarGateMethoden vergleichen: Augmented Mean Group Estimator · OLS Regression · Panel Cointegration Tests. Abgerufen am 2026-06-19 von https://scholargate.app/de/compare