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| Penjana FMOLS (Fully Modified OLS)× | Ujian Sempadan ARDL (Ujian Sempadan Pesaran)× | Penaksir Common Correlated Effects Mean Group (CCEMG)× | Prakiraan Kuasa Dua Terkecil Biasa Dinamik (DOLS)× | |
|---|---|---|---|---|
| Bidang | Ekonometrik | Ekonometrik | Ekonometrik | Ekonometrik |
| Keluarga | Regression model | Regression model | Regression model | Regression model |
| Tahun asal≠ | 1990 | 2001 | 2006 | 1993 |
| Pengasas≠ | Phillips & Hansen (time series); Pedroni (heterogeneous panels) | Pesaran, Shin & Smith | M. Hashem Pesaran | Stock & Watson (1993); panel extension Kao & Chiang (2001) |
| Jenis≠ | Cointegrating regression estimator | Cointegration test / Autoregressive distributed lag model | Heterogeneous panel estimator | Cointegrating regression estimator |
| Sumber perintis≠ | Phillips, P. C. B. & Hansen, B. E. (1990). Statistical Inference in Instrumental Variables Regression with I(1) Processes. Review of Economic Studies, 57(1), 99–125. DOI ↗ | Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗ | Pesaran, M. H. (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74(4), 967-1012. DOI ↗ | Stock, J. H. & Watson, M. W. (1993). A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems. Econometrica, 61(4), 783–820. DOI ↗ |
| Alias≠ | fully modified OLS, Phillips-Hansen FMOLS, Tam Düzeltilmiş OLS (FMOLS) | Pesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test) | common correlated effects, CCE, CCEMG, Pesaran CCE estimator | DOLS, Stock-Watson dynamic OLS, dynamic least squares cointegration estimator, Dinamik OLS (DOLS) |
| Berkaitan≠ | 5 | 4 | 4 | 5 |
| Ringkasan≠ | Fully Modified OLS, introduced by Phillips and Hansen (1990), estimates the long-run coefficients of a cointegrating relationship among I(1) variables. It applies a semi-parametric correction to ordinary least squares to remove the bias that endogeneity and serial correlation otherwise induce in cointegrated time series or panel data. | The ARDL bounds test is an autoregressive distributed lag method that tests for a cointegrating (long-run level) relationship between time series, introduced by Pesaran, Shin and Smith in 2001. Unlike the Johansen procedure, it remains valid whether the variables are I(0), I(1) or a mix of the two, and it is more reliable than Johansen in small samples of roughly 30 to 80 observations. | The Common Correlated Effects Mean Group estimator, introduced by Pesaran in 2006, is a heterogeneous panel-data estimator that controls for cross-sectional dependence by approximating unobserved common factors with the cross-section averages of the variables. It remains consistent when the slope coefficients differ across units. | Dynamic OLS is a cointegrating-regression estimator introduced by Stock and Watson (1993) that recovers the long-run relationship between I(1) variables. It augments the static regression with leads and lags of the differenced regressors, correcting endogeneity bias parametrically so that the long-run coefficient can be estimated by ordinary least squares. |
| ScholarGateSet data ↗ |
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