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Convergence and Cycles in the Euro Zone

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  • Carvalho, Vasco M
  • Harvey, Andrew

Abstract

Multivariate unobserved components (structural) time series models are fitted to annual post-war observations on real income per capita in countries in the euro zone. The aim is to establish stylized facts about convergence as it relates both to long-run income levels and to cycles. The analysis is based on a new model in which convergence components are combined with a common trend and similar cycles. These convergence components are formulated as a second-order error correction mechanism that ensures that the extracted components change smoothly, thereby giving a clearer decomposition into long-run movements and cycles.

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Bibliographic Info

Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 4726.

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Date of creation: Nov 2004
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Handle: RePEc:cpr:ceprdp:4726

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Related research

Keywords: balanced growth; error correction mechanism; Kalman filter; signal extraction; stochastic trend; unobserved components;

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Cited by:
  1. W.Jos Jansen & Ad C.J.Stokman, 2003. "Foreign Direct Investment and International Business Cycle Comovement," MEB Series (discontinued) 2003-10, Netherlands Central Bank, Monetary and Economic Policy Department.
  2. James H. Stock & Mark W. Watson, 2003. "Has the business cycle changed?," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 9-56.
  3. James H. Stock & Mark W. Watson, 2005. "Understanding Changes In International Business Cycle Dynamics," Journal of the European Economic Association, MIT Press, vol. 3(5), pages 968-1006, 09.
  4. Bovi, M., 2005. "Economic Clubs and European Commitment. Evidence from the International Business Cycles," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(2), pages 101-122.
  5. Maurizio Bovi, 2003. "Nonparametric Analysis Of The International Business Cycles," ISAE Working Papers 37, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
  6. Eickmeier, Sandra, 2005. "Common stationary and non-stationary factors in the euro area analyzed in a large-scale factor model," Discussion Paper Series 1: Economic Studies 2005,02, Deutsche Bundesbank, Research Centre.

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