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Steps toward identifying central bank policy preferences

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  • Richard Dennis

Abstract

This paper takes the parameters in central bank loss functions as fundamental preferences to be estimated from the data. It is these preferences (along with target values) that define the policy regime in operation and that potentially change with senior central bank appointments. Optimizing central banks apply policy rules whose feedback coefficients are functions of its preferences. Consequently, under some conditions, it is possible to back out estimates of the preference parameters from estimated policy reaction functions. This paper establishes conditions under which a policy regime can be identified and illustrates these conditions using a number of popular models.

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  • Richard Dennis, 2000. "Steps toward identifying central bank policy preferences," Working Paper Series 2000-13, Federal Reserve Bank of San Francisco.
    • Handle: RePEc:fip:fedfwp:2000-13
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    References listed on IDEAS

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    1. Svensson, Lars E. O., 1999. "Inflation targeting as a monetary policy rule," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 607-654, June.
    2. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
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    7. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    8. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    9. Marimon, Ramon & Scott, Andrew (ed.), 1999. "Computational Methods for the Study of Dynamic Economies," OUP Catalogue, Oxford University Press, number 9780198294979.
    10. Rothenberg, Thomas J, 1971. "Identification in Parametric Models," Econometrica, Econometric Society, vol. 39(3), pages 577-591, May.
    11. Binder,M. & Pesaran,H.M., 1995. "Multivariate Rational Expectations Models and Macroeconomic Modelling: A Review and Some New Results," Cambridge Working Papers in Economics 9415, Faculty of Economics, University of Cambridge.
    12. Fuhrer, Jeffrey C, 1997. "Inflation/Output Variance Trade-Offs and Optimal Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(2), pages 214-234, May.
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    Cited by:

    1. al-Nowaihi, Ali & Stracca, Livio, 2002. "Non-standard central bank loss functions, skewed risks, and certainty equivalence," Working Paper Series 0129, European Central Bank.
    2. Pelin Ilbas, 2012. "Revealing the preferences of the US Federal Reserve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 440-473, April.
    3. FIodendji, Komlan, 2011. "Should Canadian monetary policy respond to asset prices? Evidence from a structural model," MPRA Paper 28039, University Library of Munich, Germany, revised 10 Jan 2011.
    4. Efrem Castelnuovo, 2002. "Squeezing the Interest Rate Smoothing Weight with a Hybrid Expectations Model," Macroeconomics 0211006, University Library of Munich, Germany.
    5. Diana Burton & H. Alan Love & Gordon Rausser, 2004. "Estimating statistical properties of political economic decisions," Applied Economics, Taylor & Francis Journals, vol. 36(13), pages 1489-1499.
    6. Fiodendji, Komlan, 2011. "Should Canadian Monetary Policy Respond to Asset Prices? Evidence from a Structural Model," MPRA Paper 27942, University Library of Munich, Germany.

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