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Un modelo de proyección BVAR para la inflación peruana

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Author Info
Llosa, Gonzalo
Tuesta, Vicente
Vega, Marco

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Abstract

Se construye un marco simple de proyección no estructural BVAR para proyectar datos macroeconómicos claves de la economía peruana, en particular la inflación y el producto. A manera de contribución, con relación a aplicaciones estándar, se propone una especificación de priors a la Litterman, en la cual se considera que la estructura que conduce la dinámica de la economía se ha desplazado hacia un régimen de metas de inflación. Se comparan varias especificaciones BVAR contra un modelo de proyección de paseo aleatorio y se encuentra que las primeras tienen una buena performance relativa en términos de proyecciones de inflación para todos los horizontes. Sin embargo, las proyecciones de crecimiento del PBI no llegan a superar claramente al modelo de paseo aleatorio.

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Publisher Info
Article provided by Banco Central de Reserva del Perú in its journal Revista Estudios Económicos.

Volume (Year): (2006)
Issue (Month): 13 ()
Pages:
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Handle: RePEc:rbp:esteco:ree-13-02

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References listed on IDEAS
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  1. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
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  2. Svensson, Lars E O, 2005. "Monetary Policy with Judgement: Forecast Targeting," CEPR Discussion Papers 5072, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  3. John C. Robertson & Ellis W. Tallman, 1999. "Vector autoregressions: forecasting and reality," Economic Review, Federal Reserve Bank of Atlanta, issue Q1, pages 4-18. [Downloadable!]
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