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Estimación de VAR Bayesianos para la Economía Chilena

Author

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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, Universidad Alberto Hurtado/School of Economics and Business, vol. 24(1), pages 101-126, Junio.
    • Handle: RePEc:ila:anaeco:v:24:y:2009:i:1:p:101-126
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    Cited by:

    1. Carlos Garcia & Pablo Gonzalez & Antonio Moncado, 2010. "Proyecciones Macroeconómicas en Chile: Una Aproximación Bayesiana," ILADES-UAH Working Papers inv262, Universidad Alberto Hurtado/School of Economics and Business.
    2. Paulo Chahuara, 2020. "Análisis Empírico de la Relación entre Competencia e Inversión en el Servicio de Telefonía Móvil Peruano," Documentos de Trabajo 42, OSIPTEL.
    3. 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.
    4. Fernando Sánchez López, 2022. "Measuring the Effect of the Misery Index on International Tourist Departures: Empirical Evidence from Mexico," Economies, MDPI, vol. 10(4), pages 1-16, April.
    5. 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.
    6. 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.
    7. Fernando Sánchez López, 2019. "Unemployment and Growth in the Tourism Sector in Mexico: Revisiting the Growth-Rate Version of Okun’s Law," Economies, MDPI, vol. 7(3), pages 1-17, August.
    8. Lozano, Francisco-Javier, 2013. "Evaluación de modelos de predicción para la venta de viviendas [Evaluation of forecasting models for house sales]," MPRA Paper 118652, University Library of Munich, Germany.
    9. 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.

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    More about this item

    Keywords

    Bayesian VAR Models; Forecasting; Transmission Mechanisms; Monetary Policy.;
    All these keywords.

    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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