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Optimal Monetary Policy Rules in an Estimated Sticky-Information Model

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  • Ricardo Reis

Abstract

This paper uses a dynamic stochastic general equilibrium (DSGE) model with sticky information as a laboratory to study monetary policy. It characterizes the model's predictions for macro dynamics and optimal policy at prior parameters, and then uses data on five US macroeconomic series to update the parameters and provide an estimated model that can be used for policy analysis. The model answers a few policy questions. How does sticky information affect optimal monetary policy? What is the optimal interest rate rule? What is the optimal elastic price-level targeting rule? How does parameter uncertainty affect optimal policy? Are the conclusions for the Euro area different? (JEL E13, E31, E43, E52)

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File URL: http://www.aeaweb.org/articles.php?doi=10.1257/mac.1.2.1
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File URL: http://www.aeaweb.org/aej/mac/data/2008-0077_data.zip
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Bibliographic Info

Article provided by American Economic Association in its journal American Economic Journal: Macroeconomics.

Volume (Year): 1 (2009)
Issue (Month): 2 (July)
Pages: 1-28

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Handle: RePEc:aea:aejmac:v:1:y:2009:i:2:p:1-28

Note: DOI: 10.1257/mac.1.2.1
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References

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  1. Robert Shimer, 2009. "Convergence in Macroeconomics: The Labor Wedge," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 280-97, January.
  2. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," NBER Working Papers 8290, National Bureau of Economic Research, Inc.
  3. Lars E.O. Svensson, 2002. "What Is Wrong with Taylor Rules? Using Judgment in Monetary Policy through Targeting Rules," Working Papers 118, Princeton University, Department of Economics, Center for Economic Policy Studies..
  4. Taylor, John B, 1979. "Estimation and Control of a Macroeconomic Model with Rational Expectations," Econometrica, Econometric Society, vol. 47(5), pages 1267-86, September.
  5. Ben Bernanke & Jean Boivin & Piotr S. Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, MIT Press, vol. 120(1), pages 387-422, January.
  6. WilliamA. Branch & John Carlson & GeorgeW. Evans & Bruce McGough, 2009. "Monetary Policy, Endogenous Inattention and the Volatility Trade-off," Economic Journal, Royal Economic Society, vol. 119(534), pages 123-157, 01.
  7. Fernando Alvarez & Urban J. Jermann, 2000. "Using Asset Prices to Measure the Cost of Business Cycles," NBER Working Papers 7978, National Bureau of Economic Research, Inc.
  8. Carl Walsh, 2001. "Speed Limit Policies: The Output Gap and Optimal Monetary Policy," CESifo Working Paper Series 609, CESifo Group Munich.
  9. anonymous, 2009. "Monetary policy report to the Congress," Web Site 70, Board of Governors of the Federal Reserve System (U.S.).
  10. N. Gregory Mankiw & Ricardo Reis, 2007. "Sticky Information in General Equilibrium," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 603-613, 04-05.
  11. anonymous, 2009. "Monetary policy report to the Congress," Web Site 46, Board of Governors of the Federal Reserve System (U.S.).
  12. Dupor, Bill & Han, Jing & Tsai, Yi-Chan, 2009. "What do technology shocks tell us about the New Keynesian paradigm?," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 560-569, May.
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Cited by:
  1. Marta Areosa & Waldyr Areosa & Vinicius Carrasco, 2012. "A Sticky-Dispersed Information Phillips Curve: a model with partial and delayed information," Working Papers Series 276, Central Bank of Brazil, Research Department.
  2. Jerger, Jürgen & Röhe, Oke, 2009. "Testing for Parameter Stability in DSGE Models. The Cases of France, Germany and Spain," University of Regensburg Working Papers in Business, Economics and Management Information Systems 453, University of Regensburg, Department of Economics.
  3. J. A. Carrillo, 2011. "How Well Does Sticky Information Explain the Dynamics of Inflation, Output, and Real Wages?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/724, Ghent University, Faculty of Economics and Business Administration.
  4. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," NBER Working Papers 8290, National Bureau of Economic Research, Inc.
  5. Avichai Snir & Daniel Levy, 2011. "Shrinking Goods and Sticky Prices: Theory and Evidence," Working Paper Series 17_11, The Rimini Centre for Economic Analysis.
  6. Luisa Lambertini & Caterina Mendicino & Maria Tereza Punzi, 2011. "Leaning Against Boom-Bust Cycles in Credit and Housing Prices," Working Papers w201108, Banco de Portugal, Economics and Research Department.
  7. Verona, Fabio, 2013. "Investment dynamics with information costs," Research Discussion Papers 18/2013, Bank of Finland.
  8. Fabio Verona, 2011. "Lumpy investment in sticky information general equilibrium," CEF.UP Working Papers 1102, Universidade do Porto, Faculdade de Economia do Porto.
  9. Carrillo Julio A., 2010. "How Well Does Sticky Information Explain Inflation and Output Inertia?," Research Memorandum 018, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).

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