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

Author

Listed:
  • Riccardo DiCecio
  • Neville Francis
  • Michael T. Owyang
  • Jennifer E. Roush

Abstract

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

Suggested Citation

  • Riccardo DiCecio & Neville Francis & Michael T. Owyang & Jennifer E. Roush, 2010. "A flexible finite-horizon alternative to long-run restrictions with an application to technology shock," Working Papers 2005-024, Federal Reserve Bank of St. Louis.
    • Handle: RePEc:fip:fedlwp:2005-024
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    References listed on IDEAS

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    More about this item

    Keywords

    time series analysis; Business cycles;

    JEL classification:

    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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