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Non-constant Hazard Function and Inflation Dynamics

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Author Info
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.

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Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2009-030.

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Length: 25 pages
Date of creation: May 2009
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Handle: RePEc:hum:wpaper:sfb649dp2009-030

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Related research
Keywords: Hazard function; Weibull distribution; New Keynesian Phillips Curve;

Find related papers by 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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This page was last updated on 2009-12-9.


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