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The analytics of technology news shocks

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Author Info

  • William Dupor
  • M. Saif Mehkari

Abstract

This paper constructs several models in which, unlike the standard neoclassical growth model, positive news about future technology generates an increase in current consumption, hours and investment. These models are said to exhibit procyclical news shocks. We find that all models that exhibit procyclical news shocks in our paper have two commonalities. There are mechanisms to ensure that: (I) consumption does not crowd out investment, or vice versa; (II) the benefit of forgoing leisure in response to news shocks outweighs the cost. Among the models we consider, we believe, one model holds the greatest potential for explaining procyclical news shocks. Its critical assumption is that news of the future technology also illuminates the nature of this technology. This illumination in turn permits economic actors to invest in capital that is forward-compatible, i.e. adapted to the new technology. On the technical side, our paper reintroduces the Laplace transform as a tool for studying dynamic economies analytically. Using Laplace transforms we are able to study and prove results about the full dynamics of the model in response to news shocks.

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Bibliographic Info

Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2013-036.

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Date of creation: 2013
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Handle: RePEc:fip:fedlwp:2013-036

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Related research

Keywords: Business cycles ; Economic growth ; Technology;

This paper has been announced in the following NEP Reports:

References

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  1. Beaudry, Paul & Portier, Franck, 2004. "An exploration into Pigou's theory of cycles," Journal of Monetary Economics, Elsevier, vol. 51(6), pages 1183-1216, September.
  2. Hashmat Khan & John Tsoukalas, 2012. "The Quantitative Importance of News Shocks in Estimated DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1535-1561, December.
  3. Kenneth L. Judd, 1983. "Short-Run Analysis of Fiscal Policy in a Simple Perfect Foresight Model," Discussion Papers 559, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  4. Paul Beaudry & Bernd Lucke, 2009. "Letting Different Views about Business Cycles Compete," NBER Working Papers 14950, National Bureau of Economic Research, Inc.
  5. Paul Beaudry & Martial Dupaigne & Franck Portier, 2011. "Modeling News-Driven International Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 72-91, January.
  6. Nir Jaimovich & Sergio Rebelo, 2006. "Can News About the Future Drive the Business Cycle?," NBER Working Papers 12537, National Bureau of Economic Research, Inc.
  7. Diego Comin & Mark Gertler & Ana Maria Santacreu, 2009. "Technology Innovation and Diffusion as Sources of Output and Asset Price Fluctuations," Harvard Business School Working Papers 09-134, Harvard Business School.
  8. Hammad Qureshi, 2009. "News Shocks and Learning-by-doing," Working Papers 09-06, Ohio State University, Department of Economics.
  9. Casey B. Mulligan, 2002. "Capital, Interest, and Aggregate Intertemporal Substitution," NBER Working Papers 9373, National Bureau of Economic Research, Inc.
  10. Pengfei Wang, 2012. "Understanding Expectation‐Driven Fluctuations: A Labor‐Market Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 487-506, 03.
  11. Beaudry, Paul & van Wincoop, Eric, 1996. "The Intertemporal Elasticity of Substitution: An Exploration Using a US Panel of State Data," Economica, London School of Economics and Political Science, vol. 63(251), pages 495-512, August.
  12. Huffman, Gregory W. & Wynne, Mark A., 1999. "The role of intratemporal adjustment costs in a multisector economy," Journal of Monetary Economics, Elsevier, vol. 43(2), pages 317-350, April.
  13. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : I. The basic neoclassical model," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 195-232.
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Cited by:
  1. Beaudry, Paul & Portier, Franck, 2013. "News Driven Business Cycles: Insights and Challenges," CEPR Discussion Papers 9624, C.E.P.R. Discussion Papers.

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