Characterising the Business Cycle for Accession Countries
- 1 May 2004
- preprint
- Published by Elsevier in SSRN Electronic Journal
Abstract
We analyse the evolution of the business cycle in the accession countries, after a careful examination of the seasonal properties of the available series and the required modification of the cycle dating procedures. We then focus on the degree of cyclical concordance within the group of accession countries, which turns out to be in general lower than that between the existing EU countries (the Baltic countries constitute an exception). With respect to the Eurozone, the indications of synchronization are also generally low and lower relative to the position obtaining for countries taking part in previous enlargements (with the exceptions of Poland, Slovenia and Hungary). In the light of the optimal currency area literature, these results cast doubts on the usefulness of adopting the euro in the near future for most accession countries, though other criteria such as the extent of trade and the gains in credibility may point in a different direction.Keywords
All Related Versions
This publication has 21 references indexed in Scilit:
- Time Series Analysis by State Space MethodsPublished by Oxford University Press (OUP) ,2012
- An area-wide model for the euro areaEconomic Modelling, 2005
- A simple and efficient simulation smoother for state space time series analysisBiometrika, 2002
- Currency UnionsThe Quarterly Journal of Economics, 2002
- Fear of FloatingThe Quarterly Journal of Economics, 2002
- Central Banking and the Choice of Currency Regime in Accession CountriesRevue d'économie financière (English ed.), 2001
- Measuring Business Cycles: Approximate Band-Pass Filters for Economic Time SeriesThe Review of Economics and Statistics, 1999
- Further evidence on the international business cycle and the ERM: is there a European business cycle?Oxford Economic Papers, 1999
- The simulation smoother for time series modelsBiometrika, 1995
- Effects of the Hodrick-Prescott filter on trend and difference stationary time series Implications for business cycle researchJournal of Economic Dynamics and Control, 1995