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A flexible finite-horizon alternative to long-run restrictions with an application to technology shock

Listed author(s):
  • Neville Francis
  • Michael T. Owyang
  • Jennifer E. Roush
  • Riccardo DiCecio

Recent studies using long-run restrictions question the validity of the technology-driven real business cycle hypothesis. We propose an alternative identi cation that maximizes the contribution of technology shocks to the forecast-error variance of labor productivity at a long, but finite, horizon. In small-sample Monte Carlo experiments, our identification outperforms standard long-run restrictions by significantly reducing the bias in the short-run impulse responses and raising their estimation precision. Unlike its long-run restriction counterpart, when our Max Share identification technique is applied to U.S. data it delivers the robust result that hours worked responds negatively to positive technology shocks. ; Earlier title: A flexible finite-horizon identification of technology shocks

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Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2005-024.

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Date of creation: 2010
Handle: RePEc:fip:fedlwp:2005-024
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  11. Neville Francis & Valerie A. Ramey, 2006. "The Source of Historical Economic Fluctuations: An Analysis Using Long-Run Restrictions," NBER Chapters,in: NBER International Seminar on Macroeconomics 2004, pages 17-73 National Bureau of Economic Research, Inc.
  12. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2005. "Can Long-Run Restrictions Identify Technology Shocks?," Journal of the European Economic Association, MIT Press, vol. 3(6), pages 1237-1278, December.
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