Crowley, Patrick and Aaron, Schultz (2010): A New Approach to Analyzing Convergence and Synchronicity in Growth and Business Cycles: Cross Recurrence Plots and Quantification Analysis.
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Convergence and synchronisation of business and growth cycles are important issues in the efficient formulation of euro area economic policies, and in particular European Central Bank (ECB) monetary policy. Although several studies in the economics literature address the issue of synchronicity of growth within the euro area, this is the first study to address this issue using cross-recurrence analysis. The main findings are that member state growth rates had largely converged before the introduction of the euro, but there is a wide degree of different synchronisation behaviours which appear non-linear in nature. Many of the euro area member states display what is termed here as "intermittency" in synchronization, although this is not consistent across countries or members of the euro area. These differences in synchronization behaviors could cause problems in future implementation of euro area monetary policy.
|Item Type:||MPRA Paper|
|Original Title:||A New Approach to Analyzing Convergence and Synchronicity in Growth and Business Cycles: Cross Recurrence Plots and Quantification Analysis|
|Keywords:||Euro area; business cycles; growth cycles; recurrence plots; recurrence quantification analysis; non-stationarity; complex systems; surrogate analysis.|
|Subjects:||E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations; Cycles
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General
F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F43 - Economic Growth of Open Economies
|Depositing User:||Patrick M Crowley|
|Date Deposited:||08. Jul 2010 19:18|
|Last Modified:||15. Feb 2013 10:09|
Altavilla, C. (2004). Do EMU members share the same business cycle? Journal of Common Market Studies 42 (5), pp869-896.
Artis, M. and W. Zhang (1997). International business cycle and the ERM: Is there a european business cycle? International Journal of Finance and Economics 2, pp1-16.
Artis, M. and W. Zhang (1999). Further evidence on the international business cycle and the ERM: Is there a european business cycle? Oxford Economic Papers 51, pp120-132.
Backus, D. and P. Kehoe (1992). International evidence on the historical properties of business cycles. American Economic Review 82, pp864-888.
Backus, D., P. Kehoe, and F. Kydland (1995). International business cycles: Theory and evidence. In F. Cooley (Ed.), Frontiers of Businss Cycle Research, pp331-356. Princeton, NJ, USA: Princeton University Press.
Crivellini, M., M. Gallegati, M. Gallegati, and A. Palestrini (2004). Industrial output fluctuations in developed countries: A time-scale decomposition analysis. Working Papers and Studies: Papers from the 4th Eurostat and DGFin Colloquium "Modern Tools for Business Cycle Analysis", European Commission, Brussels, Belgium.
Crowley, P. (2008). Analyzing convergence and synchronicity of business and growth cycles in the euro area using cross recurrence plots. European Physical Journal: Special Topics 164, pp67-84.
Crowley, P. and J. Lee (2005). Decomposing the co-movement of the business cycle: A time-frequency analysis of growth rates in the euro area. Bank of Finland, Helsinki, Finland. Discussion paper 12/2005.
De Haan, J., R. Inklaar, and O. Sleijpen (2002). Have business cycles become more synchronized? Journal of Common Market Studies 40 (1), pp23-42.
Eckmann, J.-P., S. Oliffson Kamphorst, and D. Ruelle (1987). Recurrence plots of dynamical systems. Europhysics Letters 4 (9), pp973-977.
Feller, W. (1950). An Introduction to Probability Theory and its Applications, Vol. New York, NY, USA: John Wiley Sons.
Frankel, J. and A. Rose (1997). Is EMU more justi�able ex-post than ex-ante? European Economic Review 41 (3), pp753-760.
Gallegati, M. and M. Gallegati (2007). Wavelet variance analysis of output in G-7 countries. Studies in Nonlinear Dynamics and Econometrics 11 (3), pp1435-1455.
Iwanski, J. and E. Bradley (1998). Recurrence plots of experimental data: To embed or not to embed? Chaos 8 (4), pp861-871.
Kontolemis, Z. (1997). Does growth vary over the business cycle? Some evidence from the G7 countries. Economica 64 (255), pp441-460.
Kyrtsou, C. and C. Vorlow (2005). Complex Dynamics in Macroeconomics: A Novel Approach, Chapter 11, pp223-238. Springer, NY, USA.
Marwan, N. and J. Kurths (2002). Nonlinear analysis of bivariate data with cross recurrence plots. Physics Letters A 302, pp299-307.
Marwan, N., C. Romano, M. Thiel, and J. Kurths (2007). Recurrence plots for the analysis of complex systems. Physics Reports 438, pp237-329.
Marwan, N., M. Thiel, and N. Nowaczyk (2002). Cross recurrence plot based synchronization of time series. Nonlinear Processes in Geophysics 9, pp325-331.
Mundell, R. (1961). A theory of optimum currency areas. American Economic Review 51, pp509-517.
Romano, M., M. Thiel, J. Kurths, I. Kiss, and J. Hudson (2005). Detection of synchronization for non-phase-coherent and non-stationary data. Europhysics Letters 71 (3), pp466-472.
Sensier, M., M. Artis, D. Osborn, and C. Birchenhall (2004). Domestic and international influences on business cycle regimes in europe. International Journal of Forecasting 20, pp343-357.
Süssmuth, B. (2002, January). National and supranational business cycles (1960-2000): A multivariate description of central G7 and euro15 NIPA aggregates. CESifo Working Paper 658(5).
Takens, F. (1981). Detecting Strange Attractors in Turbulence, Volume 898 of Lecture Notes in Mathematics: Dynamical Systems and Turbulence, Warwick 1980, pp366-381. Springer-Verlag, Berlin, Germany. D. Rand L.-S. Young (eds).
Valle e Azevedo, J. (2002, April). Business cycles: Cyclical comovement within the European Union in the period 1960-1999. A frequency domain approach. WP 5-02, Banco do Portugal, Lisbon, Portugal.
Webber, C. J. and J. Zbilut (1994). Dynamical assessment of physiological systems and states using recurrence plot strategies. Journal of Applied Physiology 76, 965�973.
Webber Jr., C. and J. Zbilut (2005). Recurrence quanti�cation analysis of nonlinear dynamical systems. National Science Foundation, Washington DC, USA. Chapter 2, Methods for the Behavioral Sciences, eds. M. Riley and G. Van Orden, available at www.nsf.gov/sbe/bcs/pac/nmbs/nmbs.jsp.
Zarnowitz, V. and A. Ozyildirim (2002, January). Time series decomposition and measurement of business cycles, trends and growth cycles. Working Paper 8736, NBER, Cambridge, MA, USA.
Zbilut, J. (2005). Use of recurrence quanti�cation analysis in economic time series. In M. Salzano and A. Kirman (Eds.), Economics: Complex Windows, pp. 91�104. Milan, Italy: Springer-Verlag Italia.
Zbilut, J. and C. Webber Jr. (1992). Embeddings and delays as derived from quantification of recurrence plots. Physics Letters A 171, pp199-203.