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Método numérico para la calibración de un modelo DSGE

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  • Pietro Bonaldi

    ()

  • . Andrés González

    ()

  • Juan David Prada

    ()

  • Diego A.Rodríguez

    ()

  • Luis Eduardo Rojas

    ()

Abstract

En este artículo se propone un método numérico para la calibración de un modelo de equilibrio general dinámico y estocástico (DSGE). Esencialmente, éste consiste en utilizar un algoritmo híbrido de optimización, primero para encontrar un estado estacionario del modelo, y luego para minimizar una función objetivo que se define según cuál sea el propósito del investigador con el proceso de calibración. El algoritmo propuesto consiste en una aplicación del Simulated Annealing seguida de métodos tradicionales de optimización. Las bondades del algoritmo se analizan mediante simulaciones de Monte Carlo usando un modelo de economía cerrada cuyo estado estacionario no tiene solución analítica. Los resultados de este ejercicio muestran que el algoritmo propuesto genera resultados más precisos utilizando menos recursos computacionales que alternativas tradicionales. Por último se presentan los resultados de la calibración de un modelo para la economía colombiana que consta de 179 ecuaciones y que se ajusta a 50 razones con 50 parámetros. La máxima desviación porcentual entre las razones del modelo y los valores correspondientes de la economía colombiana es de 7.29% y en 29 de los 50 casos, esta desviación es menor o igual al 1%.

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Bibliographic Info

Paper provided by Banco de la Republica de Colombia in its series Borradores de Economia with number 548.

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Handle: RePEc:bdr:borrec:548

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Related research

Keywords: Simulated Annealing; calibración; DSGE; estado estacionario. Classification JEL: C61; C63; E10; E37; E50.;

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References

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  1. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, Elsevier, vol. 12(3), pages 383-398, September.
  2. Juan Carlos Parra Alvarez, . "Hechos estilizados de la economía colombiana: fundamentos empíricos para la construcción y evaluación de un modelo DSGE," Borradores de Economia 509, Banco de la Republica de Colombia.
  3. Stephanie Schmitt-Grohe & Martin Uribe, 2001. "Solving Dynamic General Equilibrium Models Using a Second-Order Approximation to the Policy Function," Departmental Working Papers, Rutgers University, Department of Economics 200106, Rutgers University, Department of Economics.
  4. Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, Elsevier, vol. 60(1-2), pages 65-99.
  5. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, Econometric Society, vol. 50(6), pages 1345-70, November.
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Cited by:
  1. Sergio Ocampo Díaz, 2011. "Agentes no ricardianos y rigideces nominales: su efecto sobre el principio de Taylor," VNIVERSITAS ECONÓMICA 008302, UNIVERSIDAD JAVERIANA - BOGOTÁ.
  2. Ramiro Rodríguez Revilla, 2011. "Modelos de equilibrio general dinámicos y estocásticos para Colombia 1995-2011," REVISTA ECOS DE ECONOMÍA, UNIVERSIDAD EAFIT, UNIVERSIDAD EAFIT.

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