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Convergencia y Estabilidad de los Tipos de Cambio Europeos: Una Aplicación de Exponentes de Lyapunov

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  • Elena Olmedo
  • Ricardo Gimeno
  • Lorenzo Escot
  • Ruth Mateos

Abstract

In this paper we applied the dynamic system theory to the measurement of the stability of the European process of convergence. In particular, Lyapunov’s exponents are used to verify the influence of political and economic decisions made during the creatio

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Bibliographic Info

Article provided by Instituto de Economía. Pontificia Universidad Católica de Chile. in its journal Cuadernos de Economía-Latin American Journal of Economics.

Volume (Year): 44 (2007)
Issue (Month): 129 ()
Pages: 91-108

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Handle: RePEc:ioe:cuadec:v:44:y:2007:i:129:p:91-108

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Keywords: Estabilidad; sistemas dinámicos; convergencia europea; euro; exponente de lyapunov; redes neuronales;

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  1. Mototsugu Shintani & Oliver Linton, 2003. "Is There Chaos in the World Economy? A Nonparametric Test Using Consistent Standard Errors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(1), pages 331-357, February.
  2. E.K. Berndt & B.H. Hall & R.E. Hall, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 103-116 National Bureau of Economic Research, Inc.
  3. Chung-Ming Kuan, 2006. "Artificial Neural Networks," IEAS Working Paper : academic research 06-A010, Institute of Economics, Academia Sinica, Taipei, Taiwan.
  4. Bask, Mikael & de Luna, Xavier, 2001. "Characterizing the degree of stability of non-linear dynamic models," UmeÃ¥ Economic Studies 564, Umeå University, Department of Economics.
  5. Barnett, William A. & Ronald Gallant, A. & Hinich, Melvin J. & Jungeilges, Jochen A. & Kaplan, Daniel T. & Jensen, Mark J., 1995. "Robustness of nonlinearity and chaos tests to measurement error, inference method, and sample size," Journal of Economic Behavior & Organization, Elsevier, vol. 27(2), pages 301-320, July.
  6. Oliver Linton & Mototsugu Shintani, 2003. "Nonparametric Neural Network Estimation of Lyapunov Exponents and a Direct Test for Chaos," STICERD - Econometrics Paper Series /2003/455, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  7. Bask, Mikael, 2000. "A Positive Lyapunov Exponent in Swedish Exchange Rates?," UmeÃ¥ Economic Studies 528, Umeå University, Department of Economics.
  8. Abhyankar, A & Copeland, L S & Wong, W, 1997. "Uncovering Nonlinear Structure in Real-Time Stock-Market Indexes: The S&P 500, the DAX, the Nikkei 225, and the FTSE-100," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 1-14, January.
  9. Dechert, W D & Gencay, R, 1992. "Lyapunov Exponents as a Nonparametric Diagnostic for Stability Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S41-60, Suppl. De.
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