[1. Armstrong, J. S. and Collopy, F. 2000. Another Error Measure for Selection of the Best Forecasting Method: The Unbiased Absolute Percentage Error. International Journal of Forecasting, 8, p. 69-80.]Search in Google Scholar
[2. Armstrong, J. S. and Fildes, R. 1995. On the selection of Error Measures for Comparisons Among Forecasting Methods. Journal of Forecasting, 14, p. 67-71.]Search in Google Scholar
[3. Ashley, R. 2003. Statistically significant forecasting improvements: how much out-of-sample data is likely necessary?. International Journal of Forecasting, 19 (2), p. 229-239.]Search in Google Scholar
[4. Athanasopoulos, G. and Vahid, F. 2005. A Complete VARMA Modelling Methodology Based on Scalar Components. Monash University, Department of Econometrics and Business Statistics.]Search in Google Scholar
[5. Bokhari, SM. H. and Feridun, M. 2005. Forecasting Inflation through Econometric models: An Empirical Study on Pakistani Data. The Information Technologist, 2(1), p. 15-21.]Search in Google Scholar
[6. Clark, T. E. and McCraken, M. W. 2006. Forecast with Small Macroeconomic VARS in the Presence of Instabilities, The Federal Reserve Bank of Kansas City, Economic Research Department.10.17016/FEDS.2007.41]Search in Google Scholar
[7. Clements, M. P. and Hendry, D. F. 1995. Forecasting in cointegrated systems. Journal of Applied Econometrics, 10, p. 127-146.]Search in Google Scholar
[8. Diebold, F.X. and Mariano, R. 1995. Comparing Predictive Accuracy. Journal of Business and Economic Statistics, 13, p. 253-265.]Search in Google Scholar
[9. Diebold, F.X. 1998. The Past, Present and Future of Macroeconomic Forecasting, Journal of Economic Perspectives, 12, p. 175-192.]Search in Google Scholar
[10. Dovern, J. and Weisser J. 2011. Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7. International Journal of Forecasting, 27 (2), p. 452465.]Search in Google Scholar
[11. Fildes, R. and Steckler, H. 2000. The State of Macroeconomic Forecasting. Lancaster University EC3/99, George Washington University, Center for Economic Research, Discussion Paper No. 99-04.]Search in Google Scholar
[12. Gorr, W. L. 2009. Forecast accuracy measures for exception reporting using receiver operating characteristic curves. International Journal of Forecasting, 25 (1), p. 48-61.]Search in Google Scholar
[13. Granger, C. W. J. and Jeon, Y. (2003). Comparing forecasts of inflation using time distance. International Journal of Forecasting, 19 (3), p. 339-349.10.1016/S0169-2070(02)00029-8]Search in Google Scholar
[14. Harvey, D.I. and Newbold, P. 2003. The non-normality of some macroeconomic forecast errors, International Journal of Forecasting, 19 (4), p. 635-653.]Search in Google Scholar
[15. Heilemann, U. and Stekler, H. 2007. Introduction to "The future of macroeconomic forecasting". International Journal of Forecasting, 23(2), p. 159-165.]Search in Google Scholar
[16. Hyndman, R. J. and Koehler, A.B. 2006. Another Look at Measures of Forecast Accuracy. International Journal of Forecasting, 22 (4), p. 679688.]Search in Google Scholar
[17. Lanser, D. and Kranendonk, H. 2008. Investigating uncertainty in macroeconomic forecasts by stochastic simulation. CPB Discussion Paper, 112.]Search in Google Scholar
[18. Makridakis, S. 1984. Forecasting: Methods and Applications, Wiley & Sons, New York, p. 122.]Search in Google Scholar
[19. Makridakis, S., Wheelwright, S.C. and Hyndman R.J. 1998. Forecasting: Methods and Applications. third edition. John Wiley & Sons, New York, p. 642.]Search in Google Scholar
[20. Ruth, K. 2008. Macroeconomic forecasting in the EMU: Does disaggregate modeling improve forecast accuracy?. Journal of Policy Modeling, 30 (3), p. 417-429.]Search in Google Scholar
[21. Terasvirta, T., van Dijk, D. and Medeiros, M.C. 2005. Linear models, smooth transition autoregressions, and neural networks for forecasting, macroeconomic time series: A re-examination. International Journal of Forecasting, 21 (4), p. 755-774.]Search in Google Scholar
[22. EUROSTAT <http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/themes> (15.03. 2012)]Search in Google Scholar