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Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model

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Author Info
Canova, Fabio
Ciccarelli, Matteo

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Abstract

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 2961.

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Date of creation: Sep 2001
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Handle: RePEc:cpr:ceprdp:2961

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Related research
Keywords: bayesian methods panel VAR markov chains monte carlo methods; forecasting; turning points;

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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

References listed on IDEAS
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  1. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr. [Downloadable!]
    Other versions:
  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. [Downloadable!]
    Other versions:
  3. Hsiao, C. & Pesaran, M. H. & Tahmiscioglu, A. K., 1998. "Bayes Estimation of Short-run Coefficients in Dynamic Panel Data Models," Cambridge Working Papers in Economics 9804, Faculty of Economics, University of Cambridge.
  4. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(03), pages 409-431, August. [Downloadable!]
  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.
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  6. Garcia-Ferrer, Antonio, et al, 1987. "Macroeconomic Forecasting Using Pooled International Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(1), pages 53-67, January.
  7. Pesaran, M.H. & Smith, R., 1992. "Estimating Long-Run Relationships From Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9215, Faculty of Economics, University of Cambridge.
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  8. Koop, G, 1992. "Aggregate Shocks and Macroeconomic Fluctuations: A Bayesian Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(4), pages 395-411, Oct.-Dec.. [Downloadable!] (restricted)
  9. Zellner, Arnold & Hong, Chansik & Min, Chung-ki, 1991. "Forecasting turning points in international output growth rates using Bayesian exponentially weighted autoregression, time-varying parameter, and pooling techniques," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 275-304. [Downloadable!] (restricted)
  10. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January. [Downloadable!] (restricted)
  11. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-95, November. [Downloadable!] (restricted)
  12. Zellner, Arnold & Hong, Chansik, 1989. "Forecasting international growth rates using Bayesian shrinkage and other procedures," Journal of Econometrics, Elsevier, vol. 40(1), pages 183-202, January. [Downloadable!] (restricted)
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  13. Alexander W. Hoffmaister & Jorge Roldos, 1997. "Are Business Cycles Different in Asia and Latin America?," IMF Working Papers 97/9, International Monetary Fund.
  14. Gerlach, Stefan & Smets, Frank, 1995. "The Monetary Transmission Mechanism: Evidence from the G-7 Countries," CEPR Discussion Papers 1219, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  15. Ingram, Beth F. & Whiteman, Charles H., 1994. "Supplanting the 'Minnesota' prior: Forecasting macroeconomic time series using real business cycle model priors," Journal of Monetary Economics, Elsevier, vol. 34(3), pages 497-510, December. [Downloadable!] (restricted)
  16. Canova, Fabio & Marcet, Albert, 1995. "The Poor Stay Poor: Non-Convergence Across Countries and Regions," CEPR Discussion Papers 1265, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  17. Daniel F. Waggoner & Tao Zha, 1998. "Conditional forecasts in dynamic multivariate models," Working Paper 98-22, Federal Reserve Bank of Atlanta. [Downloadable!]
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  18. repec:cup:etheor:v:12:y:1996:i:3:p:409-31 is not listed on IDEAS
  19. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-68, November.
    Other versions:
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Canova, Fabio, 2002. "G-7 Inflation Forecasts," CEPR Discussion Papers 3283, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
  2. Canova, Fabio, 2003. "The Transmission of US Shocks to Latin America," CEPR Discussion Papers 3963, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
  3. Fabio Canova & Matteo Ciccarelli, 2006. "Estimating multi-country VAR models," Working Paper Series 603, European Central Bank. [Downloadable!]
    Other versions:
  4. Kosei Fukuda, 2009. "Forecasting growth cycle turning points using US and Japanese professional forecasters," Empirical Economics, Springer, vol. 36(2), pages 243-267, May. [Downloadable!] (restricted)
  5. Marek Jarociński, 2008. "Responses to monetary policy shocks in the east and the west of Europe - a comparison," Working Paper Series 970, European Central Bank. [Downloadable!]
    Other versions:
  6. Alberto Baffigi & Roberto Golinelli & Giuseppe Parigi, 2002. "Real-time GDP forecasting in the euro area," Temi di discussione (Economic working papers) 456, Bank of Italy, Economic Research Department. [Downloadable!]
  7. Fabio Canova, 2005. "The transmission of US shocks to Latin America," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 229-251. [Downloadable!]
  8. Fabio Canova, 2002. "G-7 inflation forecasts," Working Paper Series 151, European Central Bank. [Downloadable!]
  9. William T. Gavin & Athena T. Theodorou, 2004. "A common model approach to macroeconomics: using panel data to reduce sampling error," Working Papers 2003-045, Federal Reserve Bank of St. Louis. [Downloadable!]
    Other versions:
  10. Michael D. Bordo & John Landon Lane & Angela Redish, 2004. "Good versus Bad Deflation: Lessons from the Gold Standard Era," NBER Working Papers 10329, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  11. Fabio Canova & Matteo Ciccarelli, 2002. "Panel Index Var Models: Specification, Estimation, Testing And Leading Indicators," Working Papers. Serie AD 2002-21, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie). [Downloadable!]
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  12. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," Economics Working Papers ECO2009/31, European University Institute. [Downloadable!]
  13. John W. Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Working Papers 07-1, Bank of Canada. [Downloadable!]
  14. E. Andersson & D. Bock & M. Frisén, 2006. "Some statistical aspects of methods for detection of turning points in business cycles," Journal of Applied Statistics, Taylor and Francis Journals, vol. 33(3), pages 257-278, April. [Downloadable!] (restricted)
  15. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2008. "Large Bayesian VARs," ECARES Working Papers 2008_033, Université Libre de Bruxelles, Ecares. [Downloadable!]
    Other versions:
  16. Sylvia Kaufmann, 2008. "Dating and forecasting turning points by Bayesian clustering with dynamic structure: A suggestion with an application to Austrian data," Working Papers 144, Oesterreichische Nationalbank (Austrian Central Bank). [Downloadable!]
  17. Fabio Canova, 2003. "The transmission of US shocks to Latin America," Economics Working Papers 925, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 2004. [Downloadable!]
  18. Matteo Ciccarelli & Alessandro Rebucci, 2002. "The Transmission Mechanism of European Monetary Policy: Is There Heterogeneity? Is it Changing over Time?," IMF Working Papers 02/54, International Monetary Fund. [Downloadable!]
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