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Estimación de Var Bayesianos para la Economía Chilena

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  • Patricio Jaramillo

Abstract

In this paper I estimate Bayesian vector autoregressive models (BVAR) for the Chilean economy. Under this approach, I study the transmission mechanisms of the monetary policy and forecasting for the main macroeconomics variables. I contrast these results with standard VAR estimates and discuss the implications for monetary policy design.

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Bibliographic Info

Paper provided by Central Bank of Chile in its series Working Papers Central Bank of Chile with number 508.

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Date of creation: Dec 2008
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Handle: RePEc:chb:bcchwp:508

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  1. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," MPRA Paper 11360, University Library of Munich, Germany.
  2. 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.
  3. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
  4. Verónica Mies & Felipe Morandé & Matías Tapia, 2002. "Política Monetaria y Mecanismos de Transmisión: Nuevos Elementos para una Vieja Discusión," Working Papers Central Bank of Chile 181, Central Bank of Chile.
  5. Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez & Thomas J. Sargent, 2005. "A, B, C’s (And D’s) For Understanding VARS," PIER Working Paper Archive 05-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  6. Daniel Racette & Jacques Raynauld & Christian Sigouin, . "An Up-to-Date and Improved BVAR Model of the Canadian Economy," Working Papers 94-4, Bank of Canada.
  7. Fabián Gredig U. & Klaus Schmidt-Hebbel D. & Rodrigo O. Valdés P., 2008. "The Monetary Policy Horizon in Chile and Other Inflation-Targeting Countries," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 11(1), pages 5-27, April.
  8. Rangan Gupta & Moses m. Sichei, 2006. "A Bvar Model For The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 74(3), pages 391-409, 09.
  9. Villani, Mattias, 2001. "Bayesian prediction with cointegrated vector autoregressions," International Journal of Forecasting, Elsevier, vol. 17(4), pages 585-605.
  10. DeJong, David N. & Ingram, Beth F. & Whiteman, Charles H., 2000. "A Bayesian approach to dynamic macroeconomics," Journal of Econometrics, Elsevier, vol. 98(2), pages 203-223, October.
  11. Robert B. Litterman, 1985. "Forecasting with Bayesian vector autoregressions five years of experience," Working Papers 274, Federal Reserve Bank of Minneapolis.
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Cited by:
  1. Pablo Pincheira Brown & Álvaro García Marín, 2009. "Forecasting Inflation in Chile With an Accurate Benchmark," Working Papers Central Bank of Chile 514, Central Bank of Chile.
  2. Espinosa Acuña, Óscar A. & Vaca González, Paola A. & Avila Forero, Raúl A., 2013. "Elasticidades de demanda por electricidad e impactos macroecon_omicos del precio de la energía eléctrica en Colombia || Elasticity of Electricity Demand and Macroeconomics Impacts of Electricity Pri," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 16(1), pages 216-249, December.

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