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Evaluación de pronóstico de una red neuronal sobre el PIB en Colombia

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Listed author(s):
  • José Mauricio Salazar Sáenz

    ()

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    Abstract

    Las redes neuronales artificiales han mostrado ser modelos robustos para dar cuenta del comportamiento de diferentes variables. En el presente trabajo se emplean para modelar la relación no lineal del crecimiento del PIB. Tres modelos son considerados: dos autoregresivos (especificación lineal y no lineal) y una red neuronal que usa la tasa de interés. Evaluando el desempeño de los modelos dentro y fuera de muestra, los pronósticos realizados por las redes neuronales artificiales superan ampliamente a los modelos lineales, siendo esta evidencia de relaciones asimétricas en el comportamiento del PIB en Colombia.

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    Paper provided by Banco de la Republica de Colombia in its series Borradores de Economia with number 575.

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    Date of creation: Oct 2009
    Handle: RePEc:bdr:borrec:575
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    More information through EDIRC

    Keywords: Red neuronal artificial; no linealidad; PIB; Rolling de pronóstico; evaluación de pronóstico. Classification JEL: C45; C53; E17; E23.;

    Find related papers by JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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    1. Fabiani, S. & Druant, M. & Hernando, I. & Kwapil, C. & Landau, B. & Loupias, C. & Martins, F. & Mathä, T. & Sabbatini, R. & Stahl, H. & Stockman, A., 2005. "The Pricing Behaviour of Firms in the Euro Area: New Survey Evidence," Working papers 135, Banque de France.
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    6. Sims, Christopher A, 1980. "Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered," American Economic Review, American Economic Association, vol. 70(2), pages 250-257, May.
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