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The Central Banker as a Risk Manager: Estimating the Federal Reserve's Preferences under Greenspan

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Author Info
Kilian, Lutz
Manganelli, Simone

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Abstract

Motivated by policy statements of central bankers, we propose to regard the central banker as a risk manager who aims at containing inflation and the deviation of output from potential within pre-specified bounds. We develop formal tools of risk management that may be used to quantify the risks of failing to attain that objective. Risk measures inherently depend on the loss function of the user. We propose a simple, yet flexible class of loss functions that nests the standard assumption of quadratic symmetric preferences, while being congruent with a risk management model. We show how the parameters of this loss function under weak assumptions may be estimated from realizations for inflation and output gap data even in the absence of a fully specified structural model of the economy. We present estimates of the Federal Reserve’s risk aversion parameters with respect to the inflation and output objectives during the Greenspan period. We formally test for and reject the standard assumptions of quadratic and symmetric preference that underlies the derivation of the Taylor rule. Our results suggest that Fed policy decisions under Greenspan are better understood in terms of the Fed weighing upside and downside risks to their objectives rather than simply responding to the conditional mean of inflation and of the output gap. We derive a natural generalization of the Taylor rule that links changes in the interest rate to the balance of the risks implied by the dual objective of sustainable economic growth and price stability. Unlike standard Taylor rules, this generalized policy rule is consistent with the wording of policy decisions by the Federal Reserve.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 6031.

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Date of creation: Jan 2007
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Handle: RePEc:cpr:ceprdp:6031

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Related research
Keywords: Greenspan; inflation; monetary policy; output; policy rule; preferences; risk;

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Find related papers by JEL classification:
E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
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

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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. Alex Cukierman & Anton Muscatelli, 2001. "Do Central Banks have Precautionary Demands for Expansions and for Price Stability?," Working Papers 2002_4, Department of Economics, University of Glasgow, revised Mar 2002. [Downloadable!]
  2. Bernanke, Ben S. & Boivin, Jean, 2003. "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April. [Downloadable!] (restricted)
    Other versions:
  3. Clarida, Richard & Galí, Jordi & Gertler, Mark, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," CEPR Discussion Papers 2139, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  4. Fishburn, Peter C, 1977. "Mean-Risk Analysis with Risk Associated with Below-Target Returns," American Economic Review, American Economic Association, vol. 67(2), pages 116-26, March.
  5. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules And Macroeconomic Stability: Evidence And Some Theory," The Quarterly Journal of Economics, MIT Press, vol. 115(1), pages 147-180, February. [Downloadable!] (restricted)
    Other versions:
  6. Hall, Alastair R. & Inoue, Atsushi & Jana, Kalidas & Shin, Changmock, 2007. "Information in generalized method of moments estimation and entropy-based moment selection," Journal of Econometrics, Elsevier, vol. 138(2), pages 488-512, June. [Downloadable!] (restricted)
  7. Svensson, Lars E. O., 2002. "Inflation targeting: Should it be modeled as an instrument rule or a targeting rule?," European Economic Review, Elsevier, vol. 46(4-5), pages 771-780, May. [Downloadable!] (restricted)
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  8. Holthausen, Duncan M, 1981. "A Risk-Return Model with Risk and Return Measured as Deviations from a Target Return," American Economic Review, American Economic Association, vol. 71(1), pages 182-88, March. [Downloadable!] (restricted)
  9. Ruge-Murcia, Francisco J, 2003. " Inflation Targeting under Asymmetric Preferences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(5), pages 763-85, October.
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  10. Chris Faulkner-MacDonagh & Taimur Baig & Jörg Decressin & Tarhan Feyzioglu & Manmohan S. Kumar, 2003. "Deflation: Determinants, Risks, and Policy Options," IMF Occasional Papers 221, International Monetary Fund.
  11. Lutz Kilian & Simone Manganelli, 2007. "Quantifying the Risk of Deflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 561-590, 03. [Downloadable!] (restricted)
  12. 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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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. Matteo Barigozzi & Marco Capasso, 2007. "A Multivariate Perspective for Modeling and Forecasting Inflation's Conditional Mean and Variance," LEM Papers Series 2007/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy. [Downloadable!]
  2. Manzan, Sebastiano & Zerom, Dawit, 2009. "Are Macroeconomic Variables Useful for Forecasting the Distribution of U.S. Inflation?," MPRA Paper 14387, University Library of Munich, Germany. [Downloadable!]
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