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The "Great Moderation" in the United Kingdom

  • LUCA BENATI

We use a Bayesian time-varying parameters structural VAR with stochastic volatility for GDP deflator inflation, real GDP growth, a 3-month nominal rate, and the rate of growth of M4 to investigate the underlying causes of the Great Moderation in the United Kingdom. Our evidence points toward a dominant role played by good luck in fostering the more stable macroeconomic environment of the last two decades. Results from counterfactual simulations, in particular, show that (i) "bringing the Monetary Policy Committee back in time" would only have had a limited impact on the Great Inflation episode, at the cost of lower output growth; (ii) imposing the 1970s monetary rule over the entire sample period would have made almost "no" difference in terms of inflation and output growth outcomes; and (iii) the Great Inflation was due, to a dominant extent, to large demand non-policy shocks, and to a lesser extent-especially in 1973 and 1979-to supply shocks. Copyright 2008 The Ohio State University.

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Article provided by Blackwell Publishing in its journal Journal of Money, Credit and Banking.

Volume (Year): 40 (2008)
Issue (Month): 1 (02)
Pages: 121-147

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Handle: RePEc:mcb:jmoncb:v:40:y:2008:i:1:p:121-147
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  1. Canova, Fabio & Gambetti, Luca & Pappa, Evi, 2006. "The Structural Dynamics of US Output and Inflation: What Explains the Changes?," CEPR Discussion Papers 5879, C.E.P.R. Discussion Papers.
  2. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, 02.
  3. Nicoletta Batini & Edward Nelson, 2005. "The U.K.'s rocky road to stability," Working Papers 2005-020, Federal Reserve Bank of St. Louis.
  4. Luca Benati, 2003. "Evolving Post-World War II U.K. Economic Performance," Computing in Economics and Finance 2003 171, Society for Computational Economics.
  5. Luca Benati, 2005. "U.K. Monetary Regimes and Macroeconomic Stylised Facts," Computing in Economics and Finance 2005 107, Society for Computational Economics.
  6. Cogley, Timothy W. & Morozov, Sergei & Sargent, Thomas J., 2003. "Bayesian fan charts for UK inflation: Forecasting and sources of uncertainty in an evolving monetary system," CFS Working Paper Series 2003/44, Center for Financial Studies (CFS).
  7. Anonymous, 2001. "General Discussion," Trade Liberalization Under NAFTA: Report Card on Agriculture; Proceedings of the 6th Agricultural and Food Policy Systems Information Workshop -2000 16839, Farm Foundation, Agricultural and Food Policy Systems Information Workshops.
  8. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," Review of Economic Studies, Oxford University Press, vol. 72(3), pages 821-852.
  9. Jacquier, Eric & Polson, Nicholas G. & Rossi, P.E.Peter E., 2004. "Bayesian analysis of stochastic volatility models with fat-tails and correlated errors," Journal of Econometrics, Elsevier, vol. 122(1), pages 185-212, September.
  10. James H. Stock & Mark W. Watson, 2002. "Has the Business Cycle Changed and Why?," NBER Working Papers 9127, National Bureau of Economic Research, Inc.
  11. Thomas Lubik & Frank Schorfheide, 2002. "Testing for Indeterminacy:An Application to U.S. Monetary Policy," Economics Working Paper Archive 480, The Johns Hopkins University,Department of Economics, revised Jun 2003.
  12. Jeremy Berkowitz & Francis X. Diebold, 1998. "Bootstrapping Multivariate Spectra," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 664-666, November.
  13. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
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