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Nonlinear Dynamics and European GNP Data

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  • Delli Gatti Domenico

    (Università Cattolica)

  • Gallegati Mauro

    (Università di Teramo)

  • Mignacca Domenico

    (Società Interbancaria)

Abstract

The aim of this paper is to assess whether the data-generation process of the GDP can be interpreted by means of a nonlinear model instead of a linear one. We model the first differences of logarithmic real GDP data with constant parameters for those European countries (France, Germany, Italy, U.K., Denmark, Sweden, and Norway) which have long-term time series. Since the linear autoregressive model is rejected, an alternative nonlinear model has been specified: it turns out that the annual European GDPs can adequately be described by means of a nonlinear model with constant parameters.

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Bibliographic Info

Article provided by De Gruyter in its journal Studies in Nonlinear Dynamics & Econometrics.

Volume (Year): 3 (1998)
Issue (Month): 1 (April)
Pages: 1-19

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Handle: RePEc:bpj:sndecm:v:3:y:1998:i:1:n:3

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Web page: http://www.degruyter.com

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Cited by:
  1. Donauer, Stefanie & Heinen, Florian & Sibbertsen, Philipp, 2010. "Identification problems in ESTAR models and a new model," Hannover Economic Papers (HEP) dp-444, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

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