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Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model Author info | Abstract | Publisher info | Download info | Related research | Statistics Canova, Fabio
Ciccarelli, Matteo
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We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a flexible model that accounts for both interdependencies in the cross section and time variations in the parameters. Posterior distributions for the parameters are obtained for hierarchical and for Minnesota-type priors. Formulas for multistep, multiunit point and average forecasts are provided. An application to the problem of forecasting the growth rate of output and of predicting turning points in the G-7 illustrates the approach. A comparison with alternative forecasting methods is also provided.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
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Date of creation: Sep 2001Date of revision:
Handle: RePEc:cpr:ceprdp:2961Contact details of provider: Postal: Centre for Economic Policy Research, 53--56 Great Sutton Street, London EC1V 0DG Phone: 44 - 20 - 7183 8801 Fax: 44 - 20 - 7183 8820
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Keywords: bayesian methods panel VAR markov chains monte carlo methods ; forecasting ; turning points ; Other versions of this item:
Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation
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