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Un modelo de proyección BVAR para la inflación peruana

  • Llosa, Gonzalo
  • Tuesta, Vicente
  • Vega, Marco

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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File URL: http://www.bcrp.gob.pe/docs/Publicaciones/Revista-Estudios-Economicos/13/Estudios-Economicos-13-2.pdf
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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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  1. Kadiyala, K. Rao & Karlsson, Sune, 1994. "Numerical Aspects of Bayesian VAR-modeling," SSE/EFI Working Paper Series in Economics and Finance 12, Stockholm School of Economics.
  2. 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.
  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.
  4. Zenón Quispe, 2000. "Monetary Policy in a Dollarized Economy: the Case of Peru," Money Affairs, Centro de Estudios Monetarios Latinoamericanos, vol. 0(2), pages 167-206, July-Dece.
  5. Svensson, Lars E O, 2005. "Monetary Policy with Judgement: Forecast Targeting," CEPR Discussion Papers 5072, C.E.P.R. Discussion Papers.
  6. Luque, Javier & Vega, Marco, 2003. "Usando un modelo semi-estructural de pequeña escala para hacer proyecciones: Algunas consideraciones," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 10.
  7. Eric M. Leeper & Jennifer E. Roush, 2003. "Putting 'M' back in Monetary Policy," NBER Working Papers 9552, National Bureau of Economic Research, Inc.
  8. Armas, Adrián & Grippa, Francisco & Quispe, Zenón & Valdivia, Luis, 2001. "De metas monetarias a metas de inflación en una economía con dolarización parcial: El caso peruano," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 7.
  9. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.
  10. Winkelried, Diego, 2003. "Hacia una meta explícita de inflación: Anticipando la inflación en el Perú," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 9, pages 11-40.
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