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Usando información adicional en la estimación de la brecha producto en el Perú: una aproximación multivariada de componentes no observados


Author Info

  • Gonzalo Llosa

    (Central Bank of Peru)

  • Shirley Miller

    (Central Bank of Peru)


Uno de los elementos claves para el régimen de metas de inflación es la correcta identificación de las presiones inflacionarias y deflacionarias a través de la brecha producto. En este trabajo brindamos una estimación de la brecha producto para la economía peruana utilizando un modelo multivariado de componentes no observados (MUC), el cual se basa en una relación explícita de corto plazo entre la inflación y la brecha producto (Curva de Phillips) y restricciones estructurales sobre la dinámica del producto. Los resultados muestran que el estimado MUC de la brecha producto es menos sensible al problema de fin de muestra y exhibe una dinámica más cercana al proceso de inflación que las brechas estimadas a partir de metodologías estándares.

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Bibliographic Info

Paper provided by Banco Central de Reserva del Perú in its series Working Papers with number 2005-0041.

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Date of creation: Feb 2005
Date of revision:
Handle: RePEc:rbp:wpaper:2005-0041

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Related research

Keywords: Brecha producto; Inflación; Modelo de componentes no observados;

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