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News, Noise and Fluctuations: An Empirical Exploration

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  • Jean-Paul L'Huillier

    (MIT)

  • Guido Lorenzoni

    (MIT)

  • Olivier J. Blanchard

    (IMF and MIT)

Abstract

We explore this class of models for two reasons. The first is that it appears to capture many of the aspects often ascribed to fluctuations, the role of animal spirits in affecting demand---spirits that we interpret here as coming from a rational reaction to signals about the future---, the role of demand in affecting output in the short run, together with the notion that output eventually returns to its natural level. The second is that it appears to fit the data in a more formal way. More specifically, it offers an interpretation of structural VARs based on the assumption of two major types of shocks, shocks with permanent effects, and shocks with transitory effects on activity.

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Paper provided by Society for Economic Dynamics in its series 2009 Meeting Papers with number 99.

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Date of creation: 2009
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Handle: RePEc:red:sed009:99

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  1. Paul Beaudry & Franck Portier, 2006. "Stock Prices, News, and Economic Fluctuations," American Economic Review, American Economic Association, vol. 96(4), pages 1293-1307, September.
  2. Aguiar, Mark & Gopinath, Gita, 2007. "Emerging Market Business Cycles: The Cycle is the Trend," Scholarly Articles 11988098, Harvard University Department of Economics.
  3. Richard Blundell & Ian Preston, 1998. "Consumption Inequality And Income Uncertainty," The Quarterly Journal of Economics, MIT Press, vol. 113(2), pages 603-640, May.
  4. Guido Lorenzoni, 2009. "A Theory of Demand Shocks," American Economic Review, American Economic Association, vol. 99(5), pages 2050-84, December.
  5. Danny Quah, 1988. "The Relative Importance of Permanent and Transitory Components: Identification and Some Theoretical Bounds," Working papers 498, Massachusetts Institute of Technology (MIT), Department of Economics.
  6. Todd B. Walker & Eric M. Leeper & Shu-Chun S. Yang, 2012. "Fiscal Foresight and Information Flows," IMF Working Papers 12/153, International Monetary Fund.
  7. Emine Boz & Christian Daude & Ceyhun Bora Durdu, 2008. "Emerging market business cycles revisited: learning about the trend," International Finance Discussion Papers 927, Board of Governors of the Federal Reserve System (U.S.).
  8. Nir Jaimovich & Sergio Rebelo, 2006. "Can News About the Future Drive the Business Cycle?," NBER Working Papers 12537, National Bureau of Economic Research, Inc.
  9. Anderson, Evan W. & McGrattan, Ellen R. & Hansen, Lars Peter & Sargent, Thomas J., 1996. "Mechanics of forming and estimating dynamic linear economies," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 4, pages 171-252 Elsevier.
  10. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
  11. Christopher A. Sims & Tao A. Zha, 1998. "Does monetary policy generate recessions?," Working Paper 98-12, Federal Reserve Bank of Atlanta.
  12. Mark Aguiar & Gita Gopinath, 2004. "Emerging market business cycles: the cycle is the trend," Working Papers 04-4, Federal Reserve Bank of Boston.
  13. Robert B. Barsky & Eric R. Sims, 2012. "Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence," American Economic Review, American Economic Association, vol. 102(4), pages 1343-77, June.
  14. Eric M. Leeper & Todd B. Walker & Shu-Chun Susan Yang, 2011. "Foresight and Information Flows," NBER Working Papers 16951, National Bureau of Economic Research, Inc.
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