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A Sticky-information General Equilibrium Model por Policy Analysis

In: Monetary Policy under Uncertainty and Learning

  • Ricardo Reis

    (National Bureau of Economic Research)

This paper presents a dynamic stochastic general-equilibrium model with a single friction in all markets: sticky information. In this economy, agents are inattentive because of the high cost of acquiring, absorbing and processing information, so that the actions of consumers, workers and firms are slow to incorporate news. This paper presents the details of the behavior of an economy with pervasive inattentiveness functions, and develops a set of algorithms that solve the model quickly. It then applies these to estimate the model using post-1986 data for the United States and post-1993 for the Eurozone, and to conduct counterfactual policy experiments. The end result is a laboratory that is rich enough to account for the dynamics of at least five macroeconomic series (inflation, output, hours, interest rates, and wages), and which can be used to inform applied monetary policy.

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This chapter was published in: Klaus Schmidt-Hebbel & Carl E. Walsh & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Editor) (ed.) Monetary Policy under Uncertainty and Learning, , chapter 8, pages 227-283, 2009.
This item is provided by Central Bank of Chile in its series Central Banking, Analysis, and Economic Policies Book Series with number v13c08pp227-283.
Handle: RePEc:chb:bcchsb:v13c08pp227-283
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  10. Lars E. O. Svensson, 2003. "What Is Wrong with Taylor Rules? Using Judgment in Monetary Policy through Targeting Rules," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 426-477, June.
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  13. Mathias Trabandt, 2007. "Sticky Information vs. Sticky Prices: A Horse Race in a DSGE Framework," Kiel Working Papers 1369, Kiel Institute for the World Economy.
  14. Michael Kiley, 2005. "A Quantitative Comparison Of Sticky-Price And Sticky-Information Models Of Price Setting," Computing in Economics and Finance 2005 183, Society for Computational Economics.
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  18. Rudebusch, Glenn D., 2002. "Term structure evidence on interest rate smoothing and monetary policy inertia," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1161-1187, September.
  19. Sveen, Tommy & Weinke, Lutz, 2005. "New perspectives on capital, sticky prices, and the Taylor principle," Journal of Economic Theory, Elsevier, vol. 123(1), pages 21-39, July.
  20. Jean-Philippe Laforte, 2007. "Pricing Models: A Bayesian DSGE Approach for the U.S. Economy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 127-154, 02.
  21. 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.
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  23. Julio Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361 National Bureau of Economic Research, Inc.
  24. Christopher D Carroll, 2002. "Macroeconomic Expectations of Households and Professional Forecasters," Economics Working Paper Archive 477, The Johns Hopkins University,Department of Economics.
  25. Taylor, John B, 1979. "Estimation and Control of a Macroeconomic Model with Rational Expectations," Econometrica, Econometric Society, vol. 47(5), pages 1267-86, September.
  26. Branch, William A., 2007. "Sticky information and model uncertainty in survey data on inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 245-276, January.
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