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Trapani, L.; Urga, G. (2009)
Publisher: Elsevier
Languages: English
Types: Article
Subjects: Panel data; homogeneous, heterogeneous and shrinkage estimators; forecasting; cross dependence; Monte Carlo simulations;, Panel data; homogeneous, heterogeneous and shrinkage estimators; forecasting; cross dependence; Monte Carlo simulations., HG
jel: jel:C23
This paper reports the results of a series of Monte Carlo exercises to contrast the forecasting performance of several panel data esti- mators, divided into three main groups (homogeneous, heterogeneous and shrinkage/Bayesian). The comparison is done using di¤erent lev- els of heterogeneity, alternative panel structures in terms of T and N and using various error dynamics speci.cations. We also consider the presence of various degrees of cross sectional dependence among units. To assess the predictive performance, we use traditional measures of forecast accuracy (Theil.s U statistics, RMSE and MAE), the Diebold and Mariano.s (1995) test, and the Pesaran and Timmerman.s (1992) statistics on the capability of forecasting turning points. The main .nding of our analysis is that in presence of heterogeneous panels the Bayesian procedures have systematically the best predictive power in- dependently of the model.s features.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • [9] Baltagi, B.H., Bresson, G., Pirotte, A. (2004). ”Tobin q: Forecast Performance for Hierarchical Bayes, Shrinkage, Heterogeneous and Homogeneous Panel Data Estimators”. Empirical Economics, 29, 107-113.
    • [10] Baltagi, B.H., Griffin, J.M. (1997). ”Pooled Estimators vs. their Heterogeneous Counterparts in the Context of Dynamic Demand for Gasoline”. Journal of Econometrics, 77, 303-27.
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