Convergence in European GDP series: a multivariate common converging trend-cycle decomposition
Convergence in the gross domestic product series of five European countries is empirically identified using multivariate time series models that are based on unobserved components with dynamic converging properties. We define convergence in terms of a decrease in dispersion over time and model this decrease via mechanisms that allow for gradual reductions in the ranks of covariance matrices associated with the disturbance vectors driving the unobserved components of the model. The inclusion of such convergence mechanisms within the formulation of unobserved components makes the identification of various types of convergence possible. The common converging component model is estimated for the per capita gross domestic product of five European countries: Germany, France, Italy, Spain and the Netherlands. It is found that convergence features in trends and cycles are present and are associated with some key events in the history of European integration. Copyright © 2004 John Wiley & Sons, Ltd.
Volume (Year): 19 (2004)
Issue (Month): 5 ()
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- Knowles, Stephen, 2001. "Are the Penn World Tables data on government consumption and investment being misused?," Economics Letters, Elsevier, vol. 71(2), pages 293-298, May.
- Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999.
"Statistical algorithms for models in state space using SsfPack 2.2,"
Royal Economic Society, vol. 2(1), pages 107-160.
- Neil Shephard & Jurgen Doornik & Siem Jan Koopman, 1998. "Statistical algorithms for models in state space using SsfPack 2.2," Economics Series Working Papers 1998-W06, University of Oxford, Department of Economics.
- Quah, Danny T, 1996.
"Twin Peaks: Growth and Convergence in Models of Distribution Dynamics,"
Royal Economic Society, vol. 106(437), pages 1045-55, July.
- Quah, Danny, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEPR Discussion Papers 1355, C.E.P.R. Discussion Papers.
- Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
- Galor, Oded, 1996.
"Convergence? Inferences from Theoretical Models,"
Royal Economic Society, vol. 106(437), pages 1056-69, July.
- Jurgen A. Doornik & Henrik Hansen, 2008.
"An Omnibus Test for Univariate and Multivariate Normality,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 70(s1), pages 927-939, December.
- Jurgen A Doornik & Henrik Hansen, . "An omnibus test for univariate and multivariate normalit," Economics Papers W4&91., Economics Group, Nuffield College, University of Oxford.
- Harvey, A. & Vasco Carvalho, 2002. "Models for Converging Economies," Cambridge Working Papers in Economics 0216, Faculty of Economics, University of Cambridge.
- Bernard, A.B. & Durlauf, S.N., 1994.
"Interpreting Tests of the Convergence Hypothesis,"
9401r, Wisconsin Madison - Social Systems.
- David Cook, 2002. "World War II And Convergence," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 131-138, February.
- Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
- Bernard, Andrew B & Durlauf, Steven N, 1995.
"Convergence in International Output,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 10(2), pages 97-108, April-Jun.
- Durbin, James & Koopman, Siem Jan, 2001.
"Time Series Analysis by State Space Methods,"
Oxford University Press, number 9780198523543, March.
- Tom Doan, . "SEASONALDLM: RATS procedure to create the matrices for the seasonal component of a DLM," Statistical Software Components RTS00251, Boston College Department of Economics.
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