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Measuring the NAIRU: a complementary approach

Author

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  • De la Serve, M-E.
  • Lemoine, M.

Abstract

Estimates of the Nairu generally suffer from a large uncertainty, which can be reduced by adopting a bivariate framework and assuming that shifts of the Phillips curve share a common trend with the unemployment rate. We consider in this paper if this common trend assumption is empirically relevant or not for seven economies over the sample 1973-2010. First, it appears that the Nairu can substantially differ from the unemployment trend. Second, relaxing the common trend assumption improves the fit of the inflation equation. Third, this assumption is necessary for getting an important reduction of uncertainty in a bivariate framework.

Suggested Citation

  • De la Serve, M-E. & Lemoine, M., 2011. "Measuring the NAIRU: a complementary approach," Working papers 342, Banque de France.
    • Handle: RePEc:bfr:banfra:342
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    Cited by:

    1. Valerija Botric, 2012. "NAIRU estimates for Croatia," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 30(1), pages 163-180.
    2. Florian Kajuth, 2016. "NAIRU Estimates for Germany: New Evidence on the Inflation–Unemployment Tradeoff," German Economic Review, Verein für Socialpolitik, vol. 17(1), pages 104-125, February.

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    More about this item

    Keywords

    Nairu; inflation; uncertainty.;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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