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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. Paul Beaudry & Franck Portier, 2004. "Stock Prices, News and Economic Fluctuations," NBER Chapters, in: Enhancing Productivity (NBER-CEPR-TCER-Keio conference) National Bureau of Economic Research, Inc.
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  6. 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.
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  13. 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.
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  16. Aguiar, Mark & Gopinath, Gita, 2007. "Emerging Market Business Cycles: The Cycle is the Trend," Scholarly Articles 11988098, Harvard University Department of Economics.
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