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Do Nominal Rigidities Matter for the Transmission of Technology Shocks?

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Zheng Liu ()
Louis Phaneuf

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Abstract

A commonly held view is that nominal rigidities are important for the transmission of monetary policy shocks. We argue that they are also important for understanding the dynamic effects of technology shocks, especially on labor hours, wages, and prices. Based on a dynamic general equilibrium framework, our closed-form solutions reveal that a pure sticky-price model predicts correctly that hours decline following a positive technology shock, but fails to generate the observed gradual rise in the real wage and the near-constance of the nominal wage; a pure sticky-wage model does well in generating slow adjustments in the nominal wage, but it does not generate plausible dynamics of hours and the real wage. A model with both types of nominal rigidities is more successful in replicating the empirical evidence about hours, wages and prices. This finding is robust for a wide range of parameter values, including a relatively small Frisch elasticity of hours and a relatively high frequency of price reoptimization that are consistent with microeconomic evidence.

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Paper provided by Department of Economics, Emory University (Atlanta) in its series Emory Economics with number 0812.

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Date of creation: Nov 2008
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Handle: RePEc:emo:wp2003:0812

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  1. Peter J. Klenow & Oleksiy Kryvtsov, 2005. "State-Dependent or Time-Dependent Pricing: Does it Matter for Recent U.S. Inflation?," NBER Working Papers 11043, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  2. Susanto Basu & John G. Fernald & Miles S. Kimball, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December. [Downloadable!]
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  3. Mark Bils & Peter J. Klenow, 2004. "Some Evidence on the Importance of Sticky Prices," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 947-985, October.
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  4. Susanto Basu & John G. Fernald, 1997. "Aggregate productivity and aggregate technology," International Finance Discussion Papers 593, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
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  5. Emi Nakamura & Jón Steinsson, 2008. "Five Facts about Prices: A Reevaluation of Menu Cost Models," The Quarterly Journal of Economics, MIT Press, vol. 123(4), pages 1415-1464, November. [Downloadable!] (restricted)
  6. Pau Rabanal & Jordi Galí, 2005. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?," IMF Working Papers 04/234, International Monetary Fund. [Downloadable!]
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  7. Liu, Zheng & Phaneuf, Louis, 2007. "Technology shocks and labor market dynamics: Some evidence and theory," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2534-2553, November. [Downloadable!] (restricted)
  8. John Fernald, 2004. "Trend Breaks, Long Run Restrictions, and the Contractionary Effects of Technology Shocks," 2004 Meeting Papers 477, Society for Economic Dynamics.
  9. Pencavel, John, 1987. "Labor supply of men: A survey," Handbook of Labor Economics, in: O. Ashenfelter & R. Layard (ed.), Handbook of Labor Economics, edition 1, volume 1, chapter 1, pages 3-102 Elsevier. [Downloadable!] (restricted)
  10. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  11. 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. [Downloadable!]
  12. Huang, Kevin X. D. & Liu, Zheng, 2002. "Staggered price-setting, staggered wage-setting, and business cycle persistence," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 405-433, March. [Downloadable!] (restricted)
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