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Bayesian Fan Charts for U.K. Inflation: Forecasting and Sources of Uncertainty in an Evolving Monetary System

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Author Info
Timothy Cogley () (University of California, Davis)
Sergei Morozov () (Stanford University)
Thomas J. Sargent () (New York University and Stanford University)

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Abstract

We estimate a Bayesian vector autoregression for the U.K. with drifting coefficients and stochastic volatilities. We use it to characterize posterior densities for several objects that are useful for designing and evaluating monetary policy, including local approximations to the mean, persistence, and volatility of inflation. We present diverse sources of uncertainty that impinge on the posterior predictive density for inflation, including model uncertainty, policy drift, structural shifts and other shocks. We use a recently developed minimum entropy method to bring outside information to bear on inflation forecasts. We compare our predictive densities with the Bank of England’s fan charts.

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Publisher Info
Paper provided by Center for Financial Studies in its series CFS Working Paper Series with number 2003/44.

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Length: 44 pages
Date of creation: 13 Feb 2003
Date of revision:
Handle: RePEc:cfs:cfswop:wp200344

Note: An earlier version was presented at the research conference "Expectations, Learning and Monetary Policy" August 2003 sponsored by the Deutsche Bundesbank, the Journal of Economic Dynamics and Control (JEDC) and the Center for Financial Studies (CFS). We are grateful to the staff at the Bank of England for their advice and assistance and to Sylvia Kaufmann and Kenneth West for their comments at the CFS-Bundesbank Conference on “Expectations, Learning, and Monetary Policy,” held in Eltville, Germany.on August 30-31, 2003. We are especially grateful to Ellis Tallman for a number of discussions about relative entropy.
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Related research
Keywords: Monetary policy rules; Money non neutrality; Business cycles; Market volatility; Propagation mechanism; Capacity utilization; Heterogenous beliefs; Over confidence; Rational Belief; Optimism; Pessimism; Non stationarity; Empirical distribution;

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Find related papers by JEL classification:
E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models

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References listed on IDEAS
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. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-39, November. [Downloadable!] (restricted)
  2. Luca Benati, 2003. "Evolving Post-World War II U.K. Economic Performance," Computing in Economics and Finance 2003 171, Society for Computational Economics.
    Other versions:
  3. Cogley, Timothy, 2002. "A Simple Adaptive Measure of Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 94-113, February.
    Other versions:
  4. John C. Robertson & Ellis W. Tallman & Charles H. Whiteman, 2002. "Forecasting using relative entropy," Working Paper 2002-22, Federal Reserve Bank of Atlanta. [Downloadable!]
    Other versions:
  5. Kozicki, Sharon & Tinsley, P. A., 2001. "Shifting endpoints in the term structure of interest rates," Journal of Monetary Economics, Elsevier, vol. 47(3), pages 613-652, June. [Downloadable!] (restricted)
    Other versions:
  6. Timothy Cogley & Thomas Sargent, . "Evolving Post-World War II U.S. Inflation Dynamics," Working Papers 2132872, Department of Economics, W. P. Carey School of Business, Arizona State University. [Downloadable!]
    Other versions:
  7. Timothy Cogley & Thomas J. Sargent, 2003. "Drifts and volatilities: monetary policies and outcomes in the post WWII U.S," Working Paper 2003-25, Federal Reserve Bank of Atlanta. [Downloadable!]
    Other versions:
  8. Aguilar, Omar & West, Mike, 2000. "Bayesian Dynamic Factor Models and Portfolio Allocation," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 338-57, July.
  9. Yuichi Kitamura & Michael Stutzer, 1997. "An Information-Theoretic Alternative to Generalized Method of Moments Estimation," Econometrica, Econometric Society, vol. 65(4), pages 861-874, July.
Full references

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. Luca Benati, . "Evolving post-World War II UK economic performance," Bank of England working papers 232, Bank of England. [Downloadable!]
    Other versions:
  2. Juan Manuel Julio, 2005. "Implementacion, Uso e Interpretación del FAN CHART," BORRADORES DE ECONOMIA 002815, BANCO DE LA REPÚBLICA. [Downloadable!]
    Other versions:
  3. Luca Benati, . "UK monetary regimes and macroeconomic stylised facts," Bank of England working papers 290, Bank of England. [Downloadable!]
    Other versions:
  4. Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2008. "On the Evolution of Monetary Policy," Working Paper Series 24-08, Rimini Centre for Economic Analysis, revised Jan 2008. [Downloadable!]
  5. Frank Smets & Raf Wouters, 2004. "Forecasting with a Bayesian DSGE model - an application to the euro area," Working Paper Series 389, European Central Bank. [Downloadable!]
    Other versions:
  6. Katerina Smidkova, 2003. "Methods Available to Monetary Policy Makers to Deal with Uncertainty," Macroeconomics 0310002, EconWPA. [Downloadable!]
  7. Stefania D'Amico, 2005. "Density selection and combination under model ambiguity: an application to stock returns," Finance and Economics Discussion Series 2005-09, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  8. Beechey, Meredith, 2004. "Excess Sensitivity and Volatility of Long Interest Rates: The Role of Limited Information in Bond Markets," Working Paper Series 173, Sveriges Riksbank (Central Bank of Sweden). [Downloadable!]
  9. Kateřina Šmídková, 2005. "How Inflation Targeters (Can) Deal with Uncertainty," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 55(7-8), pages 316-332, July. [Downloadable!]
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