Acta Univ. Agric. Silvic. Mendelianae Brun. 2018, 66(3), 719-728 | DOI: 10.11118/actaun201866030719

Synchronization of Economic Cycles in Countries of the Visegrad Group, Germany and Eurozone

Václav Adamec
Department of Statistics and Operations Research, School of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic

Most countries of the Visegrad group presently undertake meticulous preparation for entry to the Eurozone, which makes the issue of business cycle synchronization contemporary. In this study, we identified business cycle in V4 member states, Germany and the Eurozone and investigated the degree of business cycle synchronization among V4 countries, with Germany and the Eurozone. Quarterly GDP data, season and calendar adjusted from 1995 : 1 through 2016 : 4 (T = 88) were broken down to trend and cyclical elements by the Hodrick-Prescott filter and used to obtain the relative output gap. Phases of the business cycle were identified through modified BBQ algorithm. Business cycle synchronization was quantified with Pearson correlation coefficient, concordance index and Mink similarity index calculated separately for time segments before EU accession in 2004 and after. Tests of statistical significance were carried out, where relevant. In the period before EU enlargement, few economic cycles were correlated weakly, but many were not synchronized at all or were even negatively correlated. After EU accession, the cycles became closely synchronized among V4 countries or between V4 state and Germany or Eurozone. Although the degree of correlation between V4 countries and Eurozone is not as strong, as for Germany and Eurozone, it is obvious that V4 countries are becoming increasingly prepared for adopting Euro, as their currency, with respect to the requisite of economic cycle synchronization.

Keywords: business cycle, HP filter, output gap, correlation coefficient, concordance index, similarity index, synchronization, R-software

Published: June 28, 2018  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Adamec, V. (2018). Synchronization of Economic Cycles in Countries of the Visegrad Group, Germany and Eurozone. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis66(3), 719-728. doi: 10.11118/actaun201866030719
Download citation

References

  1. BALCILAR, M. 2007. mFilter: Miscellaneous Time Series Filters. R package version 0.1 - 3. Available at: https://CRAN.R-project.org/package=mFilter [Accessed: 2017, August 8].
  2. BAXTER, M. and KING, R. G. 1999. Measuring Business Cycles: Approximate Band-Pass Filters for Economic Time Series. The Review of Economics and Statistics, 4(81): 575-593. DOI: 10.1162/003465399558454 Go to original source...
  3. CANOVA, F. 1998. Detrending and Business Cycle Facts. Journal of Monetary Economics, 41(3): 533-540. DOI: 10.1016/S0304-3932(98)00008-7 Go to original source...
  4. CANOVA, F. 1999: Does Detrending Matter for the Determination of the Reference Cycle and the Selection of Turning points? The Economic Journal, 109(452): 126-150. DOI: 10.1111/1468-0297.00395 Go to original source...
  5. CHRISTIANO, L. J. and FITZGERALD, T. J. 2003. The Band Pass Filter. International Economic Review, 44(2): 435-465. DOI: 10.1111/1468-2354.t01-1-00076 Go to original source...
  6. CZECH STATISTICAL OFFICE, 2004. Procesy synchronizace vývoje hospodářského cyklu v EU. Internal document of the Czech Statistical Office. Available at: https://www.czso.cz/documents/10180/20537824/15160406.pdf/a46d8f96-2764-4483-847b-13c99cf5c57b? version =1.0 [Accessed: 2017, October 5].
  7. DARVAS, Z. and SZAPÁRY, G. 2008. Business Cycle Synchronization in the Enlarged EU. Open Economies Review, 19(1): 1-19. DOI: 10.1007/s11079-007-9027-7 Go to original source...
  8. DORNBUSCH, R., FISCHER, S. and STARTZ, R. 2011. Macroeconomics. 11th edition. New York: McGraw-Hill.
  9. EINIAN, M. 2014. BCDating: Business Cycle Dating and Plotting Tools. R package version 0.9.7. Available at: https://CRAN.R-project.org/package=BCDating [Accessed: 2017, August 8].
  10. EUROSTAT. 2017. Statistics Database. [Online]. Available at: http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database [Accessed: 2017, August 8].
  11. FRANKEL, J. A. and ROSE, A. K. 1998. The Endogeneity of the Optimum Currency Area Criteria. The Economic Journal, 108(7): 1009-1025. DOI: 10.1111/1468-0297.00327 Go to original source...
  12. HÁJEK, M. and BEZDĚK, V. 2000. Odhad potenciálního produktu a produkční mezery v ČR. Working paper No. 26. Praha: Česka národní banka. Go to original source...
  13. HARDING, D. 2002. The Australian Business Cycle: A New View. MPRA archive. Available at: http://mpra.ub.unimuenchen.de [Accessed: 2017, August 8].
  14. HARDING, D. and PAGAN, A. 2002a. A Comparison of Two Business Cycle Dating Methods. Journal of Economic Dynamics and Control, 27(9): 1681-1690. DOI: 10.1016/S0165-1889(02)00076-3 Go to original source...
  15. HARDING, D. and PAGAN, A. 2002b. Dissecting the Cycle: a Methodological Investigation. Journal of Monetary Economics, 49(2): 365-381. DOI: 10.1016/S0304-3932(01)00108-8 Go to original source...
  16. HARDING, D. and PAGAN, A. 2006. Synchronization of Cycles. Journal of Econometrics, 132(1): 59-79. DOI: 10.1016/j.jeconom.2005.01.023 Go to original source...
  17. HODRICK, R. and PRESCOTT, E. C. 1997. Postwar U.S. Business Cycles: An Empirical Investigation. Journal of Money, Credit, and Banking, 29(1): 1-16. DOI: 10.2307/2953682 Go to original source...
  18. KAPOUNEK, S. 2009. Estimation of the Business Cycles - Selected Methodological Problems of the Hodrick-Prescott Filter Application. Polish Journal of Environmental Studies, 18(5B): 227-231.
  19. KAPPEL, S. 2015. A Comparison of Business Cycles Synchronization in the Euro Area and Some Potential Monetary Unions. Acta Univ. Agric. Silvic. Mendelianae Brun., 63(4): 1277-1285. DOI: 10.11118/actaun201563041277 Go to original source...
  20. KRUGMAN, P. 2013. Lessons of Massachusetts for EMU. In: Torres, F. and Giavazzi, F.: Adjustment and Growth in the European Monetary Union. Cambridge University Press and CERP, p. 241-261. Go to original source...
  21. LACINA, L. et al. 2007. Měnová integrace: náklady a přínosy členství v měnové unii. Praha: C. H. Beck.
  22. MARAVALL, A., GÓMEZ, V. and CAPORELLO, G. 1996. Statistical and Econometrics Software: TRAMO and SEATS. Madrid: Banco de Espańa.
  23. MINK, M., JACOBS, J. and DE HAAN, J. 2007. Measuring Synchronicity and Co-movement of Business Cycles with an Application on the Euro Area. CESifo Working Paper Series No. 2112. Munich: CESifo Group. Go to original source...
  24. MUNDELL, R. A. 1961. Theory of Optimum Currency Areas. American Economic Review, 51(4): 657-665.
  25. NAJMAN, N. and ROZMAHEL, P. 2013. Business Cycle Coherence and OCA Endogeneity Testing During the Integration Period in the European Union. Acta Univ. Agric. Silvic. Mendelianae Brun., 61(4): 1033-1040. DOI: 10.11118/actaun201361041033 Go to original source...
  26. R DEVELOPMENT CORE TEAM. 2017. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Avaialable at: www.r-project.org
  27. ROZMAHEL, P. 2011. Measuring the Business Cycle Similarity and Convergence Trends in the Central and Eastern European Countries towards the Eurozone with Respect to Some Unclear Methodological Aspects. Acta Univ. Agric. Silvic. Mendelianae Brun., 59(2): 237-250. DOI: 10.11118/actaun201159020237 Go to original source...
  28. ROZMAHEL, P. and NAJMAN, N. 2010. Index shody hospodářského cyklu České republiky a vybraných zemi střední a východní Evropy s Eurozónou. Acta Univ. Agric. Silvic. Mendelianae Brun., 58(6): 407-414. DOI: 10.11118/actaun201058060407 Go to original source...
  29. SAX, C. 2016. seasonal: R Interface to X-13-ARIMA-SEATS. R package version 1.3.0. Available at: https://cran.r-project.org/package=seasonal [Accessed: 2017, August 15].

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.