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Cohesion within the euro area and the U. S.: a wavelet-based view

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Listed author(s):
  • António Rua
  • Artur Silva Lopes

Abstract

The assessment of synchronization of macroeconomic fluctuations across countries or regions has been crucial, for example, for the debate on economic integration. In this paper, we propose a multivariate measure of synchronization to assess cohesion across countries or regions by resorting to wavelet analysis. This wavelet-based measure of cohesion allows one to assess how synchronization has evolved over time and across frequencies simultaneously. In particular, we investigate the cohesion among euro area countries and the cohesion within the U.S. both at the regional and state levels over the last decades. In addition, an analysis at the sectoral level is also conducted. The results obtained unveil a noteworthy heterogeneity and highlight the usefulness of a wavelet-based measure of cohesion.

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Paper provided by Banco de Portugal, Economics and Research Department in its series Working Papers with number w201204.

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Date of creation: 2012
Handle: RePEc:ptu:wpaper:w201204
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Find related papers by JEL classification:
  • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
  • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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  1. Pakko, Michael R., 2004. "A spectral analysis of the cross-country consumption correlation puzzle," Economics Letters, Elsevier, vol. 84(3), pages 341-347, September.
  2. Yogo, Motohiro, 2008. "Measuring business cycles: A wavelet analysis of economic time series," Economics Letters, Elsevier, vol. 100(2), pages 208-212, August.
  3. Rua, Antonio & Nunes, Luis C., 2005. "Coincident and leading indicators for the euro area: A frequency band approach," International Journal of Forecasting, Elsevier, vol. 21(3), pages 503-523.
  4. Camacho, Maximo & Perez-Quiros, Gabriel & Saiz, Lorena, 2006. "Are European business cycles close enough to be just one?," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1687-1706.
  5. Kalemli-Ozcan, Sebnem & Sorensen, Bent E. & Yosha, Oved, 2001. "Economic integration, industrial specialization, and the asymmetry of macroeconomic fluctuations," Journal of International Economics, Elsevier, vol. 55(1), pages 107-137, October.
  6. Mauro Gallegati & Antonio Palestrini & Milena Petrini, 2008. "Cyclical Behavior Of Prices In The G7 Countries Through Wavelet Analysis," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 119-130.
  7. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
  8. Patrick M. Crowley & David G. Mayes, 2009. "How fused is the euro area core?: An evaluation of growth cycle co-movement and synchronization using wavelet analysis," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2008(1), pages 63-95.
  9. Fabien Tripier, 2002. "The Dynamic Correlation Between Growth and Unemployment," Economics Bulletin, AccessEcon, vol. 5(4), pages 1-9.
  10. repec:ebl:ecbull:v:5:y:2002:i:4:p:1-9 is not listed on IDEAS
  11. Patrick M. Crowley, 2007. "A Guide To Wavelets For Economists ," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 207-267, 04.
  12. Carlino, Gerald A. & DeFina, Robert H., 2004. "How strong is co-movement in employment over the business cycle? Evidence from state/sector data," Journal of Urban Economics, Elsevier, vol. 55(2), pages 298-315, March.
  13. Eickmeier, Sandra & Breitung, Jorg, 2006. "How synchronized are new EU member states with the euro area? Evidence from a structural factor model," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 538-563, September.
  14. Christophe Croux & Mario Forni & Lucrezia Reichlin, 2001. "A Measure Of Comovement For Economic Variables: Theory And Empirics," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 232-241, May.
  15. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
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Cited by:

  1. Lubos Hanus & Lukas Vacha, 2015. "Business cycle synchronization of the Visegrad Four and the European Union," Working Papers IES 2015/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2015.
  2. Lubos Hanus & Lukas Vacha, 2015. "Business cycle synchronization within the European Union: A wavelet cohesion approach," Papers 1506.03106, arXiv.org, revised Feb 2016.
  3. António Rua, 2012. "Wavelets in economics," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
  4. repec:bpj:bejmac:v:17:y:2017:i:1:p:15:n:4 is not listed on IDEAS
  5. Luís Aguiar-Conraria & Pedro Brinca & Haukur Viðar Guðjónsson & Maria Joana Soares, 2015. "Optimum Currency Area and Business Cycle Synchronization Across U.S. States," NIPE Working Papers 1/2015, NIPE - Universidade do Minho.

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