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News Shocks and Learning-by-doing

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Author Info

  • Hammad Qureshi

    ()
    (Department of Economics, Ohio State University)

Abstract

The idea that expectations about future economic fundamentals can drive business cycles dates back to the early twentieth century. However, the standard real business cycle (RBC) model fails to generate positive comovement in output, consumption, labor-hours and investment in response to news shocks. This paper proposes a simple and intuitive solution to this puzzling feature of the RBC model, based on a mechanism that has strong empirical support: learning-by-doing (LBD). First, we show that the one-sector RBC model augmented by LBD can generate aggregate comovement in response to news shock about technology. Second, we show that in the two-sector RBC model, LBD along with an intratemporal adjustment cost can generate sectoral comovement in response to news about three types of shocks: i) neutral technology shock, ii) consumption technology shock, and iii) investment technology shock. We show that these results hold for contemporaneous technology shocks and for different specifications of LBD.

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Bibliographic Info

Paper provided by Ohio State University, Department of Economics in its series Working Papers with number 09-06.

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Length: 31 pages
Date of creation: Jun 2009
Date of revision:
Handle: RePEc:osu:osuewp:09-06

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Related research

Keywords: News Shocks; Learning-by-Doing; Pigou Cycles;

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References

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  1. Lucas, Robert E., 1977. "Understanding business cycles," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 5(1), pages 7-29, January.
  2. Russell Cooper & Alok Johri, 1999. "Learning by Doing and Aggregate Fluctuations," NBER Working Papers 6898, National Bureau of Economic Research, Inc.
  3. Barro, Robert J & King, Robert G, 1984. "Time-separable Preferences and Intertemporal-Substitution Models of Business Cycles," The Quarterly Journal of Economics, MIT Press, vol. 99(4), pages 817-39, November.
  4. Den Haan, Wouter & Kaltenbrunner, Georg, 2007. "Anticipated Growth and Business Cycles in Matching Models," CEPR Discussion Papers 6063, C.E.P.R. Discussion Papers.
  5. Yongsung Chang & Joao Gomes & Frank Schorfheide, 2002. "Learning by Doing as a Propagation Mechanism," Macroeconomics 0204002, EconWPA.
  6. Gregory W. Huffman & Mark A. Wynne, 1995. "The role of intratemporal adjustment costs in a multi-sector economy," Working Papers 9508, Federal Reserve Bank of Dallas.
  7. Bahk, Byong-Hong & Gort, Michael, 1993. "Decomposing Learning by Doing in New Plants," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 561-83, August.
  8. Beaudry, Paul & Portier, Franck, 2001. "An Exploration into Pigou's Theory of Cycles," CEPR Discussion Papers 2996, C.E.P.R. Discussion Papers.
  9. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
  10. Franck Portier & Paul Beaudry, 2004. "When Can Changes in Expectations Cause Business Cycle Fluctuations?," 2004 Meeting Papers 865, Society for Economic Dynamics.
  11. Christopher Gunn & Alok Johri, 2011. "News and knowledge capital," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 92-101, January.
  12. Schmitt-Grohé, Stephanie & Uribe, Martín, 2009. "What’s News in Business Cycles," CEPR Discussion Papers 7201, C.E.P.R. Discussion Papers.
  13. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
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Citations

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Cited by:
  1. Paul Beaudry & Franck Portier, 2013. "News Driven Business Cycles: Insights and Challenges," NBER Working Papers 19411, National Bureau of Economic Research, Inc.
  2. William Dupor & M. Saif Mehkari, 2013. "The analytics of technology news shocks," Working Papers 2013-036, Federal Reserve Bank of St. Louis.
  3. Saif Mehkari & Bill Dupor, 2010. "Solving the Procyclical News Shock Problem," 2010 Meeting Papers 400, Society for Economic Dynamics.

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