Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Hausman spesifikasjonstest (FE vs RE)× | Minste kvadraters metode (OLS)× | Panel-kointegrasjonstester (Pedroni, Kao, Westerlund)× | |
|---|---|---|---|
| Fagfelt | Økonometri | Økonometri | Økonometri |
| Familie | Regression model | Regression model | Regression model |
| Opprinnelsesår≠ | 1978 | 2019 | 2004 |
| Opphavsperson≠ | Jerry A. Hausman | Wooldridge (textbook treatment); classical least squares | Pedroni; Kao; Westerlund |
| Type≠ | Specification test for panel data models | Linear regression | Panel cointegration test |
| Opprinnelig kilde≠ | Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica, 46(6), 1251–1271. DOI ↗ | Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860 | Pedroni, 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 ↗ |
| Alias≠ | Hausman specification test, FE vs RE test, Durbin-Wu-Hausman test, Hausman Spesifikasyon Testi (FE vs RE) | ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu | Pedroni cointegration test, Kao cointegration test, Westerlund cointegration test, panel long-run equilibrium tests |
| Relaterte≠ | 5 | 5 | 3 |
| Sammendrag≠ | The Hausman test is a specification test, introduced by Jerry A. Hausman in 1978, that decides between the fixed-effects (FE) and random-effects (RE) estimators in panel data models. The null hypothesis is that the random-effects estimator is consistent and efficient and should be preferred; the alternative is that random effects is inconsistent and fixed effects is required because the unit-specific effects are correlated with the explanatory variables. | 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. |
| ScholarGateDatasett ↗ |
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