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News, Noise, and Fluctuations: An Empirical Exploration

  • Olivier J. Blanchard
  • Jean-Paul L'Huillier
  • Guido Lorenzoni

We explore empirically models of aggregate fluctuations in which consumers form anticipations about the future based on noisy sources of information and these anticipations affect output in the short run. Our objective is to separate fluctuations due to changes in fundamentals (news) from those due to temporary errors in agents' estimates (noise). We show that structural VARs cannot be used to identify news and noise shocks, but identification is possible via a method of moments or maximum likelihood. Next, we estimate our model on US data. Our results suggest that noise shocks explain a sizable fraction of short-run consumption fluctuations.

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Article provided by American Economic Association in its journal American Economic Review.

Volume (Year): 103 (2013)
Issue (Month): 7 (December)
Pages: 3045-70

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Handle: RePEc:aea:aecrev:v:103:y:2013:i:7:p:3045-70
Note: DOI: 10.1257/aer.103.7.3045
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  1. Jordi Gali, 1996. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations," NBER Working Papers 5721, National Bureau of Economic Research, Inc.
  2. Lippi, Francesco & Neri, Stefano, 2003. "Information Variables for Monetary Policy in a Small Structural Model of the Euro Area," CEPR Discussion Papers 4125, C.E.P.R. Discussion Papers.
  3. Lippi, Francesco & Neri, Stefano, 2007. "Information variables for monetary policy in an estimated structural model of the euro area," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1256-1270, May.
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  8. Danny Quah, 1991. "The Relative Importance of Permanent and Transitory Components: Identification and Some Theoretical Bounds," FMG Discussion Papers dp126, Financial Markets Group.
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  10. Olivier J. Blanchard & Jean-Paul L’Huillier & Guido Lorenzoni, 2012. "News, Noise, and Fluctuations: An Empirical Exploration," Development Research Working Paper Series 09/2012, Institute for Advanced Development Studies.
  11. Emine Boz & Christian Daude & C. Bora Durdu, 2011. "Emerging Market Business Cycles Revisited: Learning about the Trend," Koç University-TUSIAD Economic Research Forum Working Papers 1110, Koc University-TUSIAD Economic Research Forum.
  12. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, 09.
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  15. Andrew Levin & Christopher J. Erceg & Dale W. Henderson, 1999. "Optimal Monetary Policy with Staggered Wage and Price Contracts," Computing in Economics and Finance 1999 1151, Society for Computational Economics.
  16. Nir Jaimovich & Sergio Rebelo, 2009. "Can News about the Future Drive the Business Cycle?," American Economic Review, American Economic Association, vol. 99(4), pages 1097-1118, September.
  17. Sims, Christopher A. & Zha, Tao, 2006. "Does Monetary Policy Generate Recessions?," Macroeconomic Dynamics, Cambridge University Press, vol. 10(02), pages 231-272, April.
  18. Guido Lorenzoni, 2009. "A Theory of Demand Shocks," American Economic Review, American Economic Association, vol. 99(5), pages 2050-84, December.
  19. 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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  23. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
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