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The distribution of sectoral TFP growth rates: International evidence

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  • Gaffeo, Edoardo

Abstract

This paper investigates the distributional properties of TFP growth rates for countries in the G7 group. Our findings lend support to the hypothesis that multifactor productivity shocks can be plausibly fitted by a symmetric non-Gaussian stable distribution model. This leads to non-negligible implications for business cycle analysis.

Suggested Citation

  • Gaffeo, Edoardo, 2011. "The distribution of sectoral TFP growth rates: International evidence," Economics Letters, Elsevier, vol. 113(3), pages 252-255.
    • Handle: RePEc:eee:ecolet:v:113:y:2011:i:3:p:252-255
    DOI: 10.1016/j.econlet.2011.08.004
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    References listed on IDEAS

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    4. Sylvain Leduc & Keith Sill, 2007. "Monetary Policy, Oil Shocks, and TFP: Accounting for the Decline in U.S. Volatility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(4), pages 595-614, October.
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    7. Gaffeo, Edoardo, 2008. "Lévy-Stable Productivity Shocks," Macroeconomic Dynamics, Cambridge University Press, vol. 12(3), pages 425-443, June.
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    Cited by:

    1. Gallegati, Mauro & Kirman, Alan, 2019. "20 years of WEHIA: A journey in search of a safer road," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 5-14.
    2. Yang, Jangho & Heinrich, Torsten & Winkler, Julian & Lafond, François & Koutroumpis, Pantelis & Farmer, J. Doyne, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," MPRA Paper 96474, University Library of Munich, Germany.
    3. Puente-Ajovin, Miguel & Ramos, Arturo, 2015. "An improvement over the normal distribution for log-growth rates of city sizes: Empirical evidence for France, Germany, Italy and Spain," MPRA Paper 67471, University Library of Munich, Germany.
    4. Yang, Jangho & Heinrich, Torsten & Winkler, Julian & Lafond, François & Koutroumpis, Pantelis & Farmer, J. Doyne, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," MPRA Paper 96474, University Library of Munich, Germany.

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