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Test di Cointegrazione di Panel (Pedroni, Kao, Westerlund)×Regression with Ordinary Least Squares (OLS)×Modello a Effetti Fissi per Dati Panel×
CampoEconometriaEconometriaEconometria
FamigliaRegression modelRegression modelRegression model
Anno di origine200420192014
IdeatorePedroni; Kao; WesterlundWooldridge (textbook treatment); classical least squaresHsiao (textbook treatment); within transformation of panel data
TipoPanel cointegration testLinear regressionPanel data regression
Fonte seminalePedroni, 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 ↗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 ↗
AliasPedroni cointegration test, Kao cointegration test, Westerlund cointegration test, panel long-run equilibrium testsordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonufixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Correlati355
SintesiPanel 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.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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ScholarGateConfronta i metodi: Panel Cointegration Tests · OLS Regression · Panel Fixed Effects. Consultato il 2026-06-18 da https://scholargate.app/it/compare