[Bačić, K. & Vizek, M. (2008). Forecasting business and growth cycles in Croatia. Economic Review, 59(11), 646-668.]Search in Google Scholar
[Bačić, K. & Vizek, M. (2006). A brand new CROLEI - do we need a new forecasting index? Financial Theory and Practice, 30(4), 311-346.]Search in Google Scholar
[Brockwell, P.J. & Davis, R. A. (2002). Introduction to time series and forecasting, 2nd edition. New York: Springer.10.1007/b97391]Search in Google Scholar
[Bruno G. & Lupi, C. (2004). Forecasting industrial production and the early detection of turning points. Empirical Economics, 29(3), 647-671.]Search in Google Scholar
[Bulligan, G., Golinelli, R. & Parigi, G. (2010). Forecasting monthly industrial production in real time: from single equations to factor based-models. Empirical Economics, 39(2), 303-336.10.1007/s00181-009-0305-7]Search in Google Scholar
[Cerovac, S. (2005). Novi kompozitni indikatori za hrvatsko gospodarstvo: prilog razvoju domaćeg sustava cikličkih indikatora. Istraživanja 1-16, travanj 2005, Hrvatska narodna banka, Croatian National Bank. Retrieved November 14, 2016, from www.hnb.hr..]Search in Google Scholar
[Čižmešija, M. & Bahovec, V. (2009). Forecasting the direction of changes in Croatia’s industrial production with ICI and CROLEI. Revista Investigacìon Operacional, 30(2), 140-148.]Search in Google Scholar
[Čižmešija, M. & Knezović, J. (2012). Direct and indirect approach in forecasting Croatia’s total energy consumption, Economic Review, 6(1-2), 22-43.]Search in Google Scholar
[Hassani, H., Heravi, S. & Zhigljavsky, A. (2009). Forecasting European Union industrial production with singular spectrum analysis. International Journal of Forecasting, 25(1), 103-118.10.1016/j.ijforecast.2008.09.007]Search in Google Scholar
[Jaegers, T. (2013). Short-term business statistics for Croatia and the European Union. Production and turnover trends in Croatia and in the European Union, Statistics in Focus 23/2013, Eurostat.]Search in Google Scholar
[Kaynar, O. (2012). Forecasting industrial production index with soft computing techniques. Economic computation and economic cybernetics studies and research, 3(3), 113-138.]Search in Google Scholar
[Krznar, I. (2011). Identifying recession and expansion periods in Croatia. Working papers W-29, Croatian National Bank.]Search in Google Scholar
[Singh, S.S., Devi, L.T. & Deb Roy, T. (2016). Time series analysis of index of industrial production of India. IOSR Journal of Mathematics, 12(3), 1-7.]Search in Google Scholar
[Sjöberg, J. (2010). Prediction of industrial production based on nonlinear time series models. Examensarbete 2010:3, Mathematical Statistics, Stockholm University.]Search in Google Scholar
[Škare, M. & Tomić, D. (2014). Examining the link between innovation, productivity and growth: a global view. Amfi teatru Economic Journal, 16(36), 606-624.]Search in Google Scholar
[Tomić, D. (2016). A more complex approach to the terms of trade dynamics; the case of Croatia. In M. Benazić, D. Učkar & A. Novak (Eds.), The EU Economic Environment Post-Crisis: Policies, Institutions and Mechanisms. Pula: Faculty of Economics and Tourism ‘Dr. Mijo Mirković’. (in the process of publishing)]Search in Google Scholar
