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Empirical Comparison of Sticky Price and Sticky Information Models

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  • Oleg Korenok

    (Department of Economics, VCU School of Business)

Abstract

The goal of this paper is to provide a fair empirical comparison of two alternative explanations of the relationship between aggregate price and output. We compare the empirical performance of the sticky price and the Mankiw and Reis (2002) sticky information models. We put both models in a similar analytical form and use the same data set on unit labor cost and aggregate prices in the U.S. after WWII to evaluate the models. We use the Bayesian full information likelihood approach for parameter estimation, uncertainty evaluation, and model comparison. Statistical comparison of the two non-nested models and estimates of the empirical encompassing model lead to the same result - the sticky information model is dominated by the sticky price model.

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File URL: http://128.118.178.162/eps/mac/papers/0510/0510004.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Macroeconomics with number 0510004.

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Length: 30 pages
Date of creation: 03 Oct 2005
Date of revision:
Handle: RePEc:wpa:wuwpma:0510004

Note: Type of Document - pdf; pages: 30
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Web page: http://128.118.178.162

Related research

Keywords: sticky price; sticky information; model selection; full information likelihood; Bayesian model comparison;

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References

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  1. Oleg Korenok & Norman R. Swanson, 2005. "The Incremental Predictive Information Associated with Using Theoretical New Keynesian DSGE Models vs. Simple Linear Econometric Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 905-930, December.
  2. Michael T. Kiley, 2005. "A quantitative comparison of sticky-price and sticky-information models of price setting," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
  3. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 1996. "Sticky Price and Limited Participation Models of Money: A Comparison," NBER Working Papers 5804, National Bureau of Economic Research, Inc.
  4. Norman Swanson & Oleg Korenok & Stanislav Radchenko, 2006. "International Evidence on the Efficacy of new-Keynesian Models of Inflation Persistence," Departmental Working Papers 200617, Rutgers University, Department of Economics.
  5. Khan, Hashmat & Zhu, Zhenhua, 2006. "Estimates of the Sticky-Information Phillips Curve for the United States," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(1), pages 195-207, February.
  6. Lars Peter Hansen & Thomas J. Sargent, 1979. "Formulating and estimating dynamic linear rational expectations models," Working Papers 127, Federal Reserve Bank of Minneapolis.
  7. Argia M. Sbordone, 2001. "Prices and Unit Labor Costs: A New Test of Price Stickiness," Departmental Working Papers 200112, Rutgers University, Department of Economics.
  8. Lindé, Jesper, 2001. "Estimating New-Keynesian Phillips Curves: A Full Information Maximum Likelihood Approach," Working Paper Series 129, Sveriges Riksbank (Central Bank of Sweden), revised 30 Apr 2001.
  9. Mankiw, N. Gregory & Reis, Ricardo, 2002. "Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," Scholarly Articles 3415324, Harvard University Department of Economics.
  10. John Geweke, 1999. "Computational Experiments and Reality," Computing in Economics and Finance 1999 401, Society for Computational Economics.
  11. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky Information: A Model of Monetary Nonneutrality and Structural Slumps," NBER Working Papers 8614, National Bureau of Economic Research, Inc.
  12. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
  13. Jordi Galí & Mark Gertler, 1998. "Inflation dynamics: A structural econometric analysis," Economics Working Papers 341, Department of Economics and Business, Universitat Pompeu Fabra.
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  17. Taylor, John B., 1986. "New econometric approaches to stabilization policy in stochastic models of macroeconomic fluctuations," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 34, pages 1997-2055 Elsevier.
  18. Oleg Korenok & Norman R. Swanson, 2007. "How Sticky Is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1481-1508, 09.
  19. Laurence Ball, 1990. "Credible Disinflation with Staggered Price Setting," NBER Working Papers 3555, National Bureau of Economic Research, Inc.
  20. Michael Woodford, 2001. "Imperfect Common Knowledge and the Effects of Monetary Policy," NBER Working Papers 8673, National Bureau of Economic Research, Inc.
  21. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-47, February.
  22. John Y. Campbell & Robert J. Shiller, 1986. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," NBER Working Papers 2100, National Bureau of Economic Research, Inc.
  23. Hashmat Khan & Zhenhua Zhu, 2002. "Estimates of the Sticky-Information Phillips Curve for the United States, Canada, and the United Kingdom," Working Papers 02-19, Bank of Canada.
  24. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
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