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Non-constant Hazard Function and Inflation Dynamics

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  • Fang Yao

Abstract

This paper explores implications of nominal rigidity characterized by a non-constant hazard function for aggregate dynamics. I derive the NKPC under an arbitrary hazard function and parameterize it with the Weibull duration model. The resulting Phillips curve involves lagged inflation and lagged expectations. It nests the Calvo NKPC as a limiting case in the sense that the effects of both terms are canceled out under the constant-hazard assumption. Furthermore, I find lagged inflation always has negative coefficients, thereby making it impossible to interpret inflation persistence as intrinsic. The numerical evaluation shows that the increasing hazard function leads to hump-shaped impulse responses of in‡ation to monetary shocks, and output leads inflation.

Suggested Citation

  • Fang Yao, 2009. "Non-constant Hazard Function and Inflation Dynamics," SFB 649 Discussion Papers SFB649DP2009-030, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  • Handle: RePEc:hum:wpaper:sfb649dp2009-030
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    References listed on IDEAS

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    More about this item

    Keywords

    Hazard function; Weibull distribution; New Keynesian Phillips Curve;

    JEL classification:

    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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