Politická ekonomie 2014, 62(2):194-215 | DOI: 10.18267/j.polek.946

Kompozitné predstihové indikátory hospodárskych cyklov krajín V4 a ich komparácia s CLI Eurostatu a OECD

Emília Jakubíková, Andrea Tkáčová, Anna Bánociová
Technická univerzita v Košiciach.

Composite Leading Indicators of Economic Cycles of V4 Countries and their Comparison to the CLI of the Eurostat and the OECD

This article's objective is to suggest and create the composite leading indicators and their importance for monitoring in a short term prediction of economic cycles in the V4. We describe in detail the methodologies of OECD and Eurostat, which deal with the prediction of the economic cycles in the V4 countries through CLI. The relation of 475 selected economic indicators and reference series, which represent the economic cycle of the V4 countries, is analyzed in the empirical part of this article. Based on the performed analysis, we define groups of leading, parallel and lagged indicators. We choose those leading indicators that are the most appropriate for the creation of CLI. Then the created CLIs and their prediction abilities are studied through the values of crosscorrelations. Besides the creation of our own CLIs, we also compare them with CLIs of Eurostat and OECD and create the conclusions on suitability resp. unacceptability of the individual CLIs for a given V4 country.

Keywords: business cycle, composite leading indicator, reference series, cyclical indicator
JEL classification: E32, E37

Published: April 1, 2014  Show citation

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Jakubíková, E., Tkáčová, A., & Bánociová, A. (2014). Composite Leading Indicators of Economic Cycles of V4 Countries and their Comparison to the CLI of the Eurostat and the OECD. Politická ekonomie, 62(2), 194-215. doi: 10.18267/j.polek.946
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    References

    1. BENČÍK, M. 2011. Synchronizácia hospodárskych cyklov krajín V4 a eurozón: Výskumná štúdia [Working Paper No. 1/2011]. Bratislava : Národná banka Slovenska. 2011.
    2. BENEŠ, J.; N´ DIAYE, P. 2004. A Multivariate Filter for for Measuring Potencial Output and the NAIRU: Application to the Czeck Republic. [Working Paper No. 04/45]. IMF, 2004. Go to original source...
    3. BEZDĚK, J.; DYBCZAK, A.; KREJDL, A. 2003. Czeck Fiscal Policy: Introductory Analysis [Working Paper No. 7]. Praha: Cezch National Bank, 2003.
    4. BOSCHAN, C.; EBANKS, W. W. 1978. The Phase Average Trend: A new way of Measuring Economic Growth, Proceeding of the business and economic statistics section. Príspevok prezentovaný na Proceedings of the Business and Economic Statistics Section, Washington, D.C., 1978.
    5. CZESANÝ, S. 2006. Hospodářsky cyklus. Praha: Linde, 2006. ISBN 80-7201-576-1.
    6. CZESANÝ, S.; MACHÁČKOVÁ, L.; SEDLÁČEK P. 2007. Monitorování a analýza hospodárského cyklu. Praha: Český statistický úřad, 2007. ISBN 978-80-250-1401-1.
    7. ECONOMIC CYCLE RESEARCH INSTITUTE. 2012. Turning Points & Leading Indicators. NewYork: Economic Cycle Research Institute, 2012.
    8. EVERTS, M. P. 2006. Measuring Business Cycles. Berlin: Verlag im Internet GmbH, 2006. ISBN 3-86624- 160-7.
    9. FABIANI, S.; MESTRE, R. 2000. Alternative Measures of the NAIRU in the Euro area: Estimates and assesment [Working Paper No. 17]. European Central Bank, 2000. Go to original source...
    10. FRANKEL, J. A.; ROSE, A. K. 1998. The Endogeneity of the Optimum Currency Area Criteria. Economic Journal. 1998, Vol. 108, No. 449, pp. 1009-1025. Go to original source...
    11. GYOMAI, G.; GUEDETTE, E. 2012. OECD System of Composite Leading Indicator, Paris: Organization for Economic Cooperation and Development, 2012.
    12. HODRIC, R. J.; PRESCOTT, E. C. 1997. Postwar U.S. Business cycles: an Empirical Investigation, Journal of Money Credit and Banking. 1997, Vol. 29, No. 1, pp.1-16. Go to original source...
    13. KĽÚČIK, M. 2009. Composite Reference Series and Composite Leading Indicator for Slovakia. Prednáška na konferencii The First Macroeconomic Forecasting Conference - MFC, Rome, 2009.
    14. KĽÚČIK, M.; HALUŠKA, J. 2008. Construction of Composite Leading Indicator for Slovak Economy. 2008. StiinŃe Economice, Volume 55, pp.1-8.
    15. KYDLAND, F.; PRESCOTT, E. 1990. Business Cycles: Real Facts and a Monetary Myth. Quarterly Rewiev, Federel Reserve Bank of Minneapolis. Vol. 1990, pp. 3-18. Go to original source...
    16. MAREK, L. et al. 2007. Statistika pro ekonomy - Aplikace. Praha : Professional Publishing. 2007. ISBN 978-80-86946-40-5.
    17. MESTER, I. T. 2007. Indicator Approach to Business Cycle Analysis. Fascicle of Management and Technological Engineering. 2007, Vol. 6. No. 17, pp. 120-136.
    18. NARDO, M.; SAISANA, M. 2005. Handbook on Constructing Composite Indicators: Methodology and User Guide. [Working Paper No. 3/2005]. Paris: OECD, 2005. Go to original source...
    19. NILSSON, R. 2000. Confidence indicators and composite indicators. Paris: Organization for Economic Cooperation and Development, 2000.
    20. NILSSON, R.; GYOMAI, G. 2007. Cycle extraction: A comparison of the PAT method, the HodrickPrescott and Christiano-Fitzgerald filters. Paris: Organization for Economic Cooperation and Development, 2007.
    21. OECD. 2008. Handbook on Constructing Composite Indicators: Methodology and User Guide. OECD Publishing, 2008. ISBN 978-92-64-04345-9. Go to original source...
    22. OECD. 2012. Glossary for OECD Composite Leading Indicators. Paris: Organization for Economic Cooperation and Development, 2012.
    23. OECD. 2013a. OECD CLI - Reference series. Paris: Organization for Economic Cooperation and Development, 2013.
    24. OECD. 2013b. Main economic indicator: Composite leading indicators. Paris: Organization for Economic Cooperation and Development, 2013. Go to original source...
    25. OECD. 2004. The OECD-JRC Handbook on Practices for Developing Composite Indicators. Príspevok prezentovaný na Committee on Statistics, Paris, 2004.
    26. OZYILDIRIM A.; SCHAITKIN B.; ZARNOWITZ V. 2009. Business Cycles in the Euro Area Defined with Coincident Economic Indicators and Predicted with Leading Economic Indicators. Prednáška na konferencii 5th Eurostat Colloquium on Modern Tools for Business Cycle Analysis, Luxembourg, 2008.
    27. SCHILCHT, E. 2005. Estimating the Smoothing Parameter in the So-called Hodrick-Prescott filter. Journal of the Japanese Statistical Society. 2005, Vol. 35, No. 1, pp.99-119. Go to original source...
    28. TKÁČOVÁ, A. 2012a. Metódy tvorby kompozitného indikátora pre Českú republiku a Slovensko. Ekonomika, management, inovace. 2012, Vol. 4, pp. 43-54.
    29. TKÁČOVÁ, A. 2012b. Kompozitný predstihový indikátor hospodárskeho cyklu českej ekonomiky. Politická ekonomie. 2012, Vol. 60, No. 5, pp. 590-613. Go to original source...
    30. TRIMBUR, T. M. 2006. Detrending Economic Time Series: A Bayesian Generalization of the HodrickPrescott Filter. Journal of Forecasting. 2006, Vol. 25, No. 4, pp. 247-273. Go to original source...
    31. ZIMKOVÁ, E.; BAROCHOVSKÝ, J. 2007. Odhad potenciálního produktu a produkčnej medzery v slovenských podmienkach. Politická ekonomie. 2007, Vol. 55, No. 4, pp. 473-489. Go to original source...

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