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Parastā mazāko kvadrātu (OLS) regresija×Paneļa kointegrācijas testi (Pedroni, Kao, Westerlund)×Fiksēto efektu paneļa datu modelis×
NozareEkonometrijaEkonometrijaEkonometrija
SaimeRegression modelRegression modelRegression model
Izcelsmes gads201920042014
AutorsWooldridge (textbook treatment); classical least squaresPedroni; Kao; WesterlundHsiao (textbook treatment); within transformation of panel data
TipsLinear regressionPanel cointegration testPanel data regression
PirmavotsWooldridge, 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 ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Citi nosaukumiordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonuPedroni cointegration test, Kao cointegration test, Westerlund cointegration test, panel long-run equilibrium testsfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Saistītās535
KopsavilkumsOrdinary 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.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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ScholarGateSalīdzināt metodes: OLS Regression · Panel Cointegration Tests · Panel Fixed Effects. Izgūts 2026-06-19 no https://scholargate.app/lv/compare