BVARs: A Survey of the Recent Literature with an Application to the European Monetary System
AbstractThis paper reviews recent advances in the specification and estimation of Bayesian Vector Autoregressive models (BVARs). After describing the general principle of Bayesian estimation applied to a VAR, we first present the methodology originally developed by Litterman (1986) and Doan et Al. (1984) and review alternative prior distributions. We then present several extensions of the basic model and discuss some issues in forecasting and structural analysis. An application to the estimation of a system of time-varying reaction functions for four European central banks under the European Monetary System (EMS) illustrates how results previously presented may be applied in practice.
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Bibliographic InfoArticle provided by SIPI Spa in its journal Rivista di Politica Economica.
Volume (Year): 93 (2003)
Issue (Month): 5 (September-October)
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Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: 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
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
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- Carlo Altavilla & Matteo Ciccarelli, 2006.
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7_2006, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
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- Altavilla, Carlo & Ciccarelli, Matteo, 2010. "Evaluating the effect of monetary policy on unemployment with alternative inflation forecasts," Economic Modelling, Elsevier, vol. 27(1), pages 237-253, January.
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