Acta Univ. Agric. Silvic. Mendelianae Brun. 2013, 61(7), 2229-2238 | DOI: 10.11118/actaun201361072229

Predictive performance of DSGE model for small open economy - the case study of Czech Republic

Tomáą Jeřábek1, Jakub Trojan2, Radka ©perková1
1 Department of economy and management, College of Business and Hotel Management. Bosonoľská 9, 625 00 Brno, Czech Republic
2 Institute of Geography, Faculty of Science, Masaryk University. Kotlářská 2, 611 37 Brno, Czech Republic

Multivariate time series forecasting is applied in a wide range of economic activities related to regional competitiveness and is the basis of almost all macroeconomic analysis. From the point of view of political practice is appropriate to seek a model that reached a quality prediction performance for all the variables. As monitored variables were used GDP growth, inflation and interest rates. The paper focuses on performance prediction evaluation of the small open economy New Keynesian DSGE model for the Czech republic, where Bayesian method are used for their parameters estimation, against different types of Bayesian and naive random walk model. The performance of models is identified using historical dates including domestic economy and foreign economy, which is represented by countries of the Eurozone. The results indicate that the DSGE model generates estimates that are competitive with other models used in this paper.

Keywords: GDP growth, inflation, interest rates, DSGE, DSGE-VAR, Log predictive density score, Bayesian averaging model

Received: June 28, 2013; Published: December 24, 2013  Show citation

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Jeřábek, T., Trojan, J., & ©perková, R. (2013). Predictive performance of DSGE model for small open economy - the case study of Czech Republic. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 61(7), 2229-2238. doi: 10.11118/actaun201361072229
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    References

    1. ADOLFSON, M., LINDÉ, J., VILLANI, M., 2007: Forecasting Performance of an Open Economy DSGE Model. Econometric Reviews, 26, 2: 289-328. ISSN 0731-1761. DOI: 10.1080/07474930701220543 Go to original source...
    2. ADOLFSON, M., LASÉEN, S., LINDÉ, J., VILLANI, M., 2008: Evaluating an estimated new Keynesian small open economy model. Journal of Economic Dynamic & Control, 32, 8: 2690-2721. ISSN 0165-1889. DOI: 10.1016/j.jedc.2007.09.012 Go to original source...
    3. CHRISTOFFEL, K., COENEN, G., WARNE, A., 2008: The New Area-Wide Model of the Euro Area: A Micro-Founded Open-Economy Model for Forecasting and Policy Analysis. ECB Working Paper Series No. 944. 2008. Go to original source...
    4. CHRISTOFFEL, K., COENEN, G., WARNE, A, 2010: Forecasting with DSGE models. Working paper. European Central Bank. 2010, pp. 1-54. Go to original source...
    5. COOLEY, T. F., LEROY, S. F., 1985: A theoretical Macroeconometrics: A Critique. Journal of Monetary Economics, 16, 3: 283-308. ISSN 0304-3932. DOI: 10.1016/0304-3932(85)90038-8 Go to original source...
    6. DEL NEGRO, M., SCHORFHEIDE, F., 2004: Priors from general equilibrium models for VARs. International Economic Review, 45, 2: 643-674. ISSN 0020-6598. DOI: 10.1111/j.1468-2354.2004.00139.x Go to original source...
    7. DOAN, T., LITTERMAN, R. B., SIMS, C. A., 1984: Forecasting and conditional projection using realistic prior distributions. Econometric Reviews, 3, 1: 1-100. ISSN 0747-4938. DOI: 10.1080/07474938408800053 Go to original source...
    8. GALÍ, J., MONACELLI, T., 2005: Monetary policy and exchange rate volatility in a small open economy. Review of Economic Studies, 72, 3: 707-734. ISSN 0034-6527. DOI: 10.1111/j.1467-937X.2005.00349.x Go to original source...
    9. GALÍ, J., 2008: Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework. Princeton University Press: New Jersey, pp. 224. ISBN 978-0-691-13316-4.
    10. GERARD, H., NIMARK, K., 2008: Combing multivariate density forecasts using predictive criteria. Reserve Bank of Australia. Research Discussion Paper. 2008, pp. 1-25. Go to original source...
    11. HILDRETH, C., 1986: Garant, The Cowles Commission in Chicago, 1939-1955. [online]. poslední revize 2012 [cit. 2013-06-21]. Available online: http://www.econ.umn.edu/library/mnpapers/1985-225.pdf. Go to original source...
    12. JEŘÁBEK, T., 2013: Predikční výkon DSGE modelu malé otevřené ekonomiky pro Českou republiku. In: 15. ročník mezinárodní vědecké konference MEKON. Ostrava: V©B-TUO, Faculty of Economics, pp. 46-54. ISBN 978-80-248-2950-0.
    13. JEŘÁBEK, T., TRÁVNÍČEK, J., TROJAN, J., 2012: Predikční výkon BVAR a TVP-VAR modelů. In: Nové trendy 2012. Sborník příspěvků z mezinárodní vědecké konference. 1. vyd. Znojmo: Soukromá vysoká ąkola ekonomická Znojmo, 63-76. ISBN 978-80-87314-29-6.
    14. JORE, A. S., MITCHELL, J., VAHEY, S. P., 2010: Combining forecast densities from VARs with uncertain instabilities. Journal of Applied Econometrics, 25, 4: 621-635. ISSN 0883-7252. DOI: 10.1002/jae.1162 Go to original source...
    15. KOOP, G., KOROBILIS, D., 2010: Bayesian Multivariate Time Series Methods for Empirical Macroeconomics. Foundations and Trends in Econometrics, 3, 4: 267-358. ISSN 1551-3076. DOI: 10.1561/0800000013 Go to original source...
    16. KYDLAND, F. E., PRESCOTT, E. C., 1982: Time to Build an Aggregate Fluctuations. Econometrica, 50, 6: 1345-1370. ISSN 0012-9682. DOI: 10.2307/1913386 Go to original source...
    17. MAO, W., 2010: Bayesian multivariate predictions. Dissertation, Graduate College of The University of Iowa.
    18. MUSIL, K., BRNO, 2009: International Growth Rule Model: New Approach to the Foreign Sector of the Open Economy. Dissertation. Masaryk University. Faculty of economics and administration. Department of economics.
    19. ROTEMBERG, J., WOODFORD, M., 1997: An optimization-based econometric framework for the evaluation of monetary policy. [online]. [cit. 2013-06-21]. NBER Macroeconomics Annual 12, 297-346. Available from: http://www.nber.org/papers/t0233.pdf?new_window=1. Go to original source...
    20. SENECA, M., 2010: A DSGE model for Iceland. [online]. [cit. 2013-06-21]The central Bank of Iceland, Working paper 50, 1-79. Available from: http://www.sedlabanki.is/lisalib/getfile.aspx?itemid=8077.
    21. STOCK, J. H., WATSON, M. W., 2004: Combination forecasts of output growth in a seven-country data set. Journal of Forecasting, 23, 6: 405-430. ISSN 0277-6693. DOI: 10.1002/for.928 Go to original source...
    22. ©PERKOVÁ, R., DUDA, J., 2008: Komparace vybraných metod predikce v oblasti exportu a importu vína. Acta Univ. Agric. et. Silvic. Mendel. Brun, 61, 6: 157-166. ISSN 1211-8516. DOI: 10.11118/actaun200856060157 Go to original source...
    23. TIMMERMANN, A., 2006: Forecast combinations. In: Handbook of Economic Forecasting, North-Holland: Amsterdam, 135-196. ISBN 978-0-444-51395-3. Go to original source...
    24. TROJAN, J., SUCHÁNEK, P., BUDÍKOVÁ, I., 2012: Předpoklady regionální konkurenceschopnosti městských územních celků na příkladu Vyąkova. In: Konkurenceschopnost v cestovním ruchu, gastronomii a hotelnictví. Sborník příspěvků z páté mezinárodní konference. Brno: Vysoká ąkola obchodní a hotelová, 251-257. ISBN 978-80-87300-18-3.
    25. WARNE, A., COENEN, G., CHRISTOFFEL, K., 2012: Predictive Likelihood Comparisons with DSGE and DSGE-VAR models. [online]. [cit. 2013-06-21]. European Central Bank. June 2012, pp. 1-52. Available from: https://editorialexpress.com/cgi-bin/conference/download.cgi?db_name=CEF2012&paper_id=465.
    26. WIELAND, V., WOLTERS, M. H., 2012a: Forecasting and policy making. In: ELLIOT, G. and TIMMERMANN, A., Handbook of Economic Forecasting. Oxford: Elsevier Publications, 1070. ISBN 978-04-44513-95-3.
    27. WIELAND, V., WOLTERS, M. H., 2012b: Forecasting and policy making. Institute for Monetary and Financial Stability. [online]. [cit. 2013-06-21]. Working paper, no. 62, pp. 1-88. Available from: http://www.bcb.gov.br/secre/apres/Paper%20Maik%20Wolters.pdf.
    28. WOLTERS, M. H., 2012: Evaluating point and density forecasts of DSGE models. [online]. [cit. 2013-06-21]. Goethe University Frankfurt. MPRA paper, pp. 1-56. Available from: http://mpra.ub.uni-muenchen.de/36147/.

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