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A quantitative comparison of sticky-price and sticky-information models of price setting

  • Michael T. Kiley

I estimate sticky-price and sticky-information models of price setting for the United States via maximum-likelihood techniques, reaching several conclusions. First, the sticky-price model fits best, and captures inflation dynamics as well as reduced-form equations once hybrid-behavior is allowed. Second, the importance of hybrid behavior in sticky-price models is potentially consistent with a role for some information imperfections, such as sticky information, as a complement to nominal price rigidities. Finally, the favorable results herein for the hybrid sticky-price model when evaluated by statistics that summarize the relative fit of different models is consistent with the existing literature that is both supportive and dismissive of such models, as this literature has largely ignored fit in evaluating such models. Many previous studies have focused on ancillary issues, such as the standard errors associated with certain parameters or Granger-causality tests that may not provide much information about sticky-price models.

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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 2006-45.

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Date of creation: 2006
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Handle: RePEc:fip:fedgfe:2006-45
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  1. Gernot Doppelhofer & Ronald I. Miller & Xavier Sala-i-Martin, 2000. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (Bace) Approach," OECD Economics Department Working Papers 266, OECD Publishing.
  2. Jeremy Rudd & Karl Whelan, 2003. "Can rational expectations sticky-price models explain inflation dynamics?," Finance and Economics Discussion Series 2003-46, Board of Governors of the Federal Reserve System (U.S.).
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  6. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," Harvard Institute of Economic Research Working Papers 1922, Harvard - Institute of Economic Research.
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  8. Jordi Galí & Mark Gertler & J. David López-Salido, 2001. "Robustness of the Estimates of the Hybrid New Keynesian Phillips Curve," Working Papers 44, Barcelona Graduate School of Economics.
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  14. Jeremy Rudd & Karl Whelan, 2005. "Modelling inflation dynamics: a critical review of recent research," Finance and Economics Discussion Series 2005-66, Board of Governors of the Federal Reserve System (U.S.).
  15. Rudd, Jeremy & Whelan, Karl, 2005. "Does Labor's Share Drive Inflation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(2), pages 297-312, April.
  16. Christopher D Carroll, 2001. "The Epidemiology of Macroeconomic Expectations," Economics Working Paper Archive 462, The Johns Hopkins University,Department of Economics.
  17. Leamer, Edward E., 1983. "Model choice and specification analysis," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 5, pages 285-330 Elsevier.
  18. Michael Kumhof & Douglas Laxton, 2005. "A Rational Expectations Model of Optimal Inflation Inertia," Computing in Economics and Finance 2005 429, Society for Computational Economics.
  19. Ma, Adrian, 2002. "GMM estimation of the new Phillips curve," Economics Letters, Elsevier, vol. 76(3), pages 411-417, August.
  20. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
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