[1. Aastveit, K., Trovik, T. (2012). Nowcasting Norwegian GDP: The role of asset prices in a small open economy. Empirical Economics, Vol. 42, No. 1, pp. 95-119.10.1007/s00181-010-0429-9]Search in Google Scholar
[2. Abdić, A. (2018). Modeli prognoziranja bruto domaćeg proizvoda na primjeru Bosne i Hercegovine. Doktorska disertacija. Sarajevo: Ekonomski fakultet.]Search in Google Scholar
[3. Angelini, E., Bańbura, M., Rünstler, G. (2010). Estimating and forecasting the euro area monthly national accounts from a dynamic factor model. Journal of Business Cycle Measurement and Analysis, No. 1, pp. 1-2210.1787/jbcma-2010-5kmmsxgf2qbs]Search in Google Scholar
[4. Antipa, P., Barhoumi, K., Brunhes-Lesage, V., Darné, O. (2012). Nowcasting German GDP: A comparison of bridge and factor models. Working Paper No. 401. Banque de France.10.2139/ssrn.2163431]Search in Google Scholar
[5. Buss, G. (2010). A note on GDP now-/forecasting with dynamic versus static factor models along a business cycle. MPRA Paper No. 22147. University Library of Munich.]Search in Google Scholar
[6. D’Agostino, A, Gambetti, L., Giannone, D. (2011). Macroeconomic forecasting and structural change. Journal of Applied Econometrics, Vol. 28, No. 1, pp. 82-101.10.1002/jae.1257]Search in Google Scholar
[7. Dias, F., Pinheiro, M., Rua, A. (2015). Forecasting Portuguese GDP with factor models: Pre - and post-crisis evidence. Economic Modelling, No. 44, pp. 266-272.10.1016/j.econmod.2014.10.034]Search in Google Scholar
[8. Diebold, F. X., Mariano, R. S. (2002). Comparing predictive accuracy. Journal of Business & economic statistics, Vol. 20, No. 1, pp. 134-144.10.1198/073500102753410444]Search in Google Scholar
[9. Forni, M., Hallin, M., Lippi, M., Reichlin, L. (2000). The Generalized Dynamic Factor Model: Identification and Estimation. The Review of Economics and Statistics, Vol. 82, No. 4, pp. 540-554.10.1162/003465300559037]Search in Google Scholar
[10. Giannone, D., Reichlin, L., Small, D. (2008). Nowcasting: The real-time informational content of macroeconomic data. Journal of Monetary Economics, Vol. 55, No. 4, pp. 665-676.10.1016/j.jmoneco.2008.05.010]Search in Google Scholar
[11. Godbout, C., Lombardi, J. K. (2012). Short-term forecasting of the Japanese economy using factor models. Working Paper Series No. 1428, European Central Bank.10.2139/ssrn.2020334]Search in Google Scholar
[12. Granger, C.W.J., Ramanathan, R. (1984), Improved Methods of Combining Forecasting, Journal of Forecasting, No. 3, pp. 197-204.10.1002/for.3980030207]Search in Google Scholar
[13. Jovanović, B., Petrovska M. (2010). Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting. Working Paper, National Bank of the Republic of Macedonia.]Search in Google Scholar
[14. Kunovac, D., Špalat, B. (2014). Brza procjena BDP-a upotrebom dostupnih mjesečnih indikatora. Istraživanja I-42, Hrvatska narodna banka.]Search in Google Scholar
[15. Kunovac, D. (2007). Factor Model Forecasting of Inflation in Croatia. Financial Theory and Practice, Vol. 31, No. 4, pp. 371-393.]Search in Google Scholar
[16. Liebermann, J. (2011). Real-Time Nowcasting of GDP: Factor Model versus Professional Forecasters. Research Technical Papers No. 3/RT/11, Central Bank of Ireland.]Search in Google Scholar
[17. Marcellino, M., Schumacher, C. (2010). Factor MIDAS for Nowcasting and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP. Oxford Bulletin of Economics and Statistics, Vol. 72, No. 4, pp. 518-550.10.1111/j.1468-0084.2010.00591.x]Search in Google Scholar
[18. Marcellino, M., Stock, J., Watson, M. (2003). Macroeconomic forecasting in the Euro area: Country specific versus area-wide information. European Economic Review, No. 47, pp. 1-18.10.1016/S0014-2921(02)00206-4]Search in Google Scholar
[19. Schumacher, C., Breitung, J. (2008). Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data. International Journal of Forecasting, Vol. 24, No. 3, pp. 386-398.10.1016/j.ijforecast.2008.03.008]Search in Google Scholar
[20. Shahini, L., Haderi S. (2013). Short term Albanian GDP forecast: One quarter to one year ahead. European Scientific Journal, Vol. 9, No. 34, pp. 198-208.]Search in Google Scholar
[21. Siliverstovs, B. (2012). Keeping a Finger on the Pulse of the Economy: Nowcasting Swiss GDP in Real-Time Squared. Working Papers No. 12-302, KOF Swiss Economic Institute.10.2139/ssrn.2040583]Search in Google Scholar
[22. Stock, J. H. & Watson, M. W. (1989). New Indexes of Coincident and Leading Economic Indicators, NBER Chapters, in: NBER Macroeconomics Annual, No. 4, pp. 351-40910.1086/654119]Search in Google Scholar
[23. Stock, J. H., Watson, M. W. (2002b). Macroeconomic Forecasting Using Diffusion Indexes. Journal of Business & Economic Statistics, Vol. 20, No. 2, pp. 147-162.10.1198/073500102317351921]Search in Google Scholar
[24. Stock, J. H., Watson M.W. (2002a). Forecasting Using Principal Components from a Large Number of Predictors. Journal of the American Statistical Association, Vol. 20, No. 2, pp. 147-162.]Search in Google Scholar
[25. Yiu, M.S., Chow, K.K. (2011). Nowcasting Chinese GDP: Information Content of Economic and Financial Data. Working Papers No. 042011, Hong Kong Institute for Monetary Research.10.2139/ssrn.1769611]Search in Google Scholar