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Model selection for monetary policy analysis How important is empirical validity?

  • Akram, Q. Farooq

    (Research Department, Norges Bank)

  • Nymoen, Ragnar

    ()

    (Dept. of Economics, University of Oslo)

We investigate the economic significance of trading off empirical validity of models against other desirable model properties, and the potential loss from ’overestimating’ model uncertainty and basing monetary policy on a relatively robust model, or on a suite of models. We find that differences in model specification and even differences in estimates of key parameters across comparable models may entail widely different monetary policy and macroeconomic performance. Our results therefore caution against compromising the empirical validity of models when selecting a model for policy analysis. We also find that potential costs from basing monetary policies on the relatively robust model or on a suite of models, even when it contains the valid model by assumption, can be quite substantial. This suggests huge gains from efficient exploitation of available information sources to avoid overestimation of model uncertainty. Our investigation is based on three alternative econometric systems of wage and price inflation for Norway

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File URL: http://www.sv.uio.no/econ/english/research/unpublished-works/working-papers/pdf-files/2007/Memo-14-2007.pdf
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Paper provided by Oslo University, Department of Economics in its series Memorandum with number 14/2007.

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Length: 38 pages
Date of creation: 09 Jul 2007
Date of revision:
Handle: RePEc:hhs:osloec:2007_014
Contact details of provider: Postal: Department of Economics, University of Oslo, P.O Box 1095 Blindern, N-0317 Oslo, Norway
Phone: 22 85 51 27
Fax: 22 85 50 35
Web page: http://www.oekonomi.uio.no/indexe.html
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  1. Gunnar Bårdsen & Q. Farooq Akram & Øyvind Eitrheim, 2005. "Monetary policy and asset prices: To respond or not?," Working Paper Series 5405, Department of Economics, Norwegian University of Science and Technology.
  2. Johansen, Kare, 1995. "Norwegian Wage Curves," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(2), pages 229-47, May.
  3. Granger, Clive W. J., 1992. "Fellow's opinion: Evaluating economic theory," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 3-5.
  4. Robert J. Gordon, 1997. "The Time-Varying NAIRU and Its Implications for Economic Policy," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 11-32, Winter.
  5. Driffill, John & Rotondi, Zeno, 2004. "Monetary Policy and Lexicographic Preference Ordering," CEPR Discussion Papers 4247, C.E.P.R. Discussion Papers.
  6. Andrew T.. Levin & Volker Wieland & John Williams, 1999. "Robustness of Simple Monetary Policy Rules under Model Uncertainty," NBER Chapters, in: Monetary Policy Rules, pages 263-318 National Bureau of Economic Research, Inc.
  7. Bardsen, Gunnar & Eitrheim, Oyvind & Jansen, Eilev S. & Nymoen, Ragnar, 2005. "The Econometrics of Macroeconomic Modelling," OUP Catalogue, Oxford University Press, number 9780199246502.
  8. Gunnar Bardsen & Eilev S. Jansen & Ragnar Nymoen, 2003. "Econometric inflation targeting," Econometrics Journal, Royal Economic Society, vol. 6(2), pages 430-461, December.
  9. Smets, Frank, 2003. "Maintaining price stability: how long is the medium term?," Journal of Monetary Economics, Elsevier, vol. 50(6), pages 1293-1309, September.
  10. James H. Stock & Mark W. Watson, 1999. "Forecasting Inflation," NBER Working Papers 7023, National Bureau of Economic Research, Inc.
  11. Granger, Clive W. J., 2001. "Macroeconometrics - Past and future," Journal of Econometrics, Elsevier, vol. 100(1), pages 17-19, January.
  12. Mankiw, N Gregory, 1989. "Real Business Cycles: A New Keynesian Perspective," Journal of Economic Perspectives, American Economic Association, vol. 3(3), pages 79-90, Summer.
  13. Jon Faust & Dale W. Henderson, 2004. "Is inflation targeting best-practice monetary policy?," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 117-144.
  14. Laurence H. Meyer, 2004. "Practical problems and obstacles to inflation targeting," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 151-160.
  15. Elena Andreou & Aris Spanos, 2003. "Statistical Adequacy and the Testing of Trend Versus Difference Stationarity," Econometric Reviews, Taylor & Francis Journals, vol. 22(3), pages 217-237, January.
  16. Neil R. Ericsson & John S. Irons, 1995. "The Lucas critique in practice: theory without measurement," International Finance Discussion Papers 506, Board of Governors of the Federal Reserve System (U.S.).
  17. Cogley, Timothy & Sargent, Thomas J., 2005. "The conquest of U.S. inflation: learning and robustness to model uncertainty," Working Paper Series 0478, European Central Bank.
  18. Brian Sack & Volker Wieland, 1999. "Interest-rate smoothing and optimal monetary policy: a review of recent empirical evidence," Finance and Economics Discussion Series 1999-39, Board of Governors of the Federal Reserve System (U.S.).
  19. Peter Isard & Douglas Laxton & Ann-Charlotte Eliasson, 1999. "Simple Monetary Policy Rules Under Model Uncertainty," International Tax and Public Finance, Springer, vol. 6(4), pages 537-577, November.
  20. Batini, Nicoletta & Nelson, Edward, 2001. "Optimal horizons for inflation targeting," Journal of Economic Dynamics and Control, Elsevier, vol. 25(6-7), pages 891-910, June.
  21. Glenn D. Rudebusch, 2002. "Assessing the Lucas critique in monetary policy models," Working Paper Series 2002-02, Federal Reserve Bank of San Francisco.
  22. Lars Peter Hansen & Thomas J. Sargent, 2001. "Acknowledging Misspecification in Macroeconomic Theory," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(3), pages 519-535, July.
  23. repec:cup:cbooks:9780521002882 is not listed on IDEAS
  24. Nymoen, Ragnar, 1989. " Wages and the Length of the Working Day. An Empirical Test Based on Norwegian Quarterly Manufacturing Data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 91(3), pages 599-612.
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