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Estimación de Var Bayesianos para la Economía Chilena

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  • Patricio Jaramillo

    () (Departamento de Estudios Superintendencia de Bancos e Instituciones Financiera, Santiago, Chile.)

Abstract

In this paper Bayesian Vector Autoregression (BVAR) models are estimated for the Chilean economy. Under this approach, the transmission mechanisms of monetary policy and forecast exercises are studied and evaluated for the main macroeconomic variables. Then, the results are contrasted with the standard VAR models presented in the previous literature for the case of Chile and the implications for the monetary policy design are discussed. JEL Classification: C11, C32, E5.

Suggested Citation

  • Patricio Jaramillo, 2009. "Estimación de Var Bayesianos para la Economía Chilena," Revista de Analisis Economico – Economic Analysis Review, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines, vol. 24(1), pages 101-126, Junio.
  • Handle: RePEc:ila:anaeco:v:24:y:2009:i:1:p:101-126
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    1. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Thomas J. Sargent & Mark W. Watson, 2007. "ABCs (and Ds) of Understanding VARs," American Economic Review, American Economic Association, vol. 97(3), pages 1021-1026, June.
    2. Canova, Fabio & Ciccarelli, Matteo, 2004. "Forecasting and turning point predictions in a Bayesian panel VAR model," Journal of Econometrics, Elsevier, vol. 120(2), pages 327-359, June.
    3. Daniel Racette & Jacques Raynauld & Christian Sigouin, "undated". "An Up-to-Date and Improved BVAR Model of the Canadian Economy," Staff Working Papers 94-4, Bank of Canada.
    4. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," MPRA Paper 11360, University Library of Munich, Germany.
    5. 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.
    6. 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.
    7. 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, September.
    8. Christopher A. Sims & Tao Zha, 1999. "Error Bands for Impulse Responses," Econometrica, Econometric Society, vol. 67(5), pages 1113-1156, September.
    9. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
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    12. Raphael Bergoeing & Juan Enrique Suarez, 2001. "¿Qué Debemos Explicar? Reportando las Fluctuaciones Agregadas de la Economía Chilena," Revista de Analisis Economico – Economic Analysis Review, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines, vol. 16(1), pages 145-166, June.
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    15. Timothy Condon & Vittorio Corbo & Jaime de Melo, 2015. "Productivity Growth, External Shocks, and Capital Inflows in Chile: A General Equilibrium Analysis," World Scientific Book Chapters,in: Modeling Developing Countries' Policies in General Equilibrium, chapter 5, pages 87-95 World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. 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 Price," 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.
    2. Pavel Vidal & Gilberto Ramírez & Lya Paola Sierra, 2018. "¿Por qué el Valle del Cauca ha crecido más que el promedio nacional? Un análisis regional de los ciclos y los choques económicos," Working Papers 33, Faculty of Economics and Management, Pontificia Universidad Javeriana Cali.
    3. 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.
    4. Carlos Garcia & Pablo Gonzalez & Antonio Moncado, 2010. "Proyecciones Macroeconómicas en Chile: Una Aproximación Bayesiana," ILADES-Georgetown University Working Papers inv262, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines.
    5. Carlos J. García & Pablo González M. & Antonio Moncado S., 2013. "Macroeconomic Forecasting in Chile: a Structural Bayesian Approach," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 16(1), pages 24-63, April.

    More about this item

    Keywords

    Bayesian VAR Models; Forecasting; Transmission Mechanisms; Monetary Policy.;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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