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Does the Greenspan era provide evidence on leadership in the FOMC?

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  • El-Shagi, Makram
  • Jung, Alexander

Abstract

The aim of this paper is to examine whether Chairman Greenspan influenced the Reserve Bank Presidents. This question is interesting, because it has been argued that their preferences would be more persistent compared to those of the Governors. We estimate individual Taylor-type reaction functions for the Federal Reserve Districts using their voiced interest rate preferences during the policy go-around as well as real-time economic information on the inflation and unemployment gap. A bootstrap analysis exploits information contained in these reaction functions and constructs counterfactual distributions of disagreement among the Federal Reserve Districts, assuming the absence of factors that could have enforced consensus. We compare these simulated distributions with the observed disagreement during the committee deliberations and find empirical evidence in favour of coordination. This detected coordination helped to bring the preferences of the Federal Reserve Districts more in line with Chairman Greenspan’s views. JEL Classification: C15, C53, D72, E58

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Bibliographic Info

Paper provided by European Central Bank in its series Working Paper Series with number 1579.

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Date of creation: Aug 2013
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Handle: RePEc:ecb:ecbwps:20131579

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Keywords: bootstrap; federal Reserve Districts; greenspan era; individual reaction functions; real-time data;

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References

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  1. Henry W. Chappell, Jr. & Rob Roy McGregor & Todd A. Vermilyea, 2007. "The Role of the Bias in Crafting Consensus: FOMC Decision Making in the Greenspan Era," International Journal of Central Banking, International Journal of Central Banking, vol. 3(2), pages 39-60, June.
  2. Alessandro Riboni & Francisco J. Ruge-Murcia, 2010. "Monetary Policy by Committee: Consensus, Chairman Dominance, or Simple Majority?," The Quarterly Journal of Economics, MIT Press, vol. 125(1), pages 363-416, February.
  3. Peter Tillmann, 2009. "The Fed’s perceived Phillips curve: Evidence from individual FOMC forecasts," MAGKS Papers on Economics 200946, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  4. RIBONI, Alessandro & RUGE-MURCIA, Francisco J., 2007. "Preference Heterogeneity in Monetary Policy Committees," Cahiers de recherche 05-2007, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  5. Athanasios Orphanides, 2003. "Historical monetary policy analysis and the Taylor rule," Finance and Economics Discussion Series 2003-36, Board of Governors of the Federal Reserve System (U.S.).
  6. Ellen E. Meade & Daniel L. Thornton, 2010. "The Phillips Curve and US Monetary Policy: What the FOMC Transcripts Tell Us," Working Papers 2010-18, American University, Department of Economics.
  7. Laurence Ball, 2012. "Ben Bernanke and the Zero Bound," Economics Working Paper Archive 589, The Johns Hopkins University,Department of Economics.
  8. Mikael Apel & Carl Andreas Claussen & Petra Gerlach-Kristen & Petra Lennartsdotter & Øistein Røisland, 2013. "Monetary policy decisions – comparing theory and “inside” information from MPC members," Working Paper 2013/03, Norges Bank.
  9. Petra Gerlach-Kristen & Ellen E. Meade, 2010. "Is There a Limit on FOMC Dissents? Evidence from the Greenspan Era," Working Papers 2010-16, American University, Department of Economics.
  10. Fendel, Ralf & Rülke, Jan-Christoph, 2012. "Are heterogeneous FOMC forecasts consistent with the Fed’s monetary policy?," Economics Letters, Elsevier, vol. 116(1), pages 5-7.
  11. Hayo, Bernd & Neuenkirch, Matthias, 2013. "Do Federal Reserve presidents communicate with a regional bias?," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 62-72.
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  13. David Romer, 2010. "A New Data Set on Monetary Policy: The Economic Forecasts of Individual Members of the FOMC," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 951-957, 08.
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  15. Hayo, Bernd & Neuenkirch, Matthias, 2010. "Do Federal Reserve communications help predict federal funds target rate decisions?," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 1014-1024, December.
  16. A. Jung, 2013. "Policymakers’ Interest Rate Preferences: Recent Evidence for Three Monetary Policy Committees," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 150-197, September.
  17. Chappell, Henry W, Jr & McGregor, Rob Roy & Vermilyea, Todd, 2004. "Majority Rule, Consensus Building, and the Power of the Chairman: Arthur Burns and the FOMC," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(3), pages 407-22, June.
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  19. John S. Lapp & Douglas K. Pearce & Surachit Laksanasut, 2003. "The Predictability of FOMC Decisions: Evidence from the Volcker and Greenspan Chairmanships," Southern Economic Journal, Southern Economic Association, vol. 70(2), pages 312-327, October.
  20. Christian Pierdzioch & Jan-Christoph Rülke & Peter Tillmann, 2013. "Using forecasts to uncover the loss function of FOMC members," MAGKS Papers on Economics 201302, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
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Cited by:
  1. A. Jung, 2013. "Policymakers’ Interest Rate Preferences: Recent Evidence for Three Monetary Policy Committees," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 150-197, September.

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