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New Keynesian Microfoundations Revisited: A Generalised Calvo-Taylor Model and the Desirability of Inflation vs. Price Level Targeting

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  • Mash, Richard

    (University of Oxford)

Abstract

Optimal monetary policy is sensitive to the Phillips curve used to represent the dynamics of inflation and output. Most recent literature has used a New Keynesian Phillips curve based on Calvo pricing. This paper shows that this workhorse model is not robust to relatively minor changes in its microfoundations, in particular allowing for time varying probabilitites of a firm being able to reset its price. We derive a general model that nests Calvo and the Taylor staggering model as special cases and analyse its implications for optimal policy, including the relative desirability of inflation and price level targeting.

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  • Mash, Richard, 2002. "New Keynesian Microfoundations Revisited: A Generalised Calvo-Taylor Model and the Desirability of Inflation vs. Price Level Targeting," Royal Economic Society Annual Conference 2002 138, Royal Economic Society.
  • Handle: RePEc:ecj:ac2002:138
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    Cited by:

    1. Richard Mash, 2004. "Optimising microfoundations for observed inflation persistence," Money Macro and Finance (MMF) Research Group Conference 2003 60, Money Macro and Finance Research Group.
    2. Bakhshi, Hasan & Khan, Hashmat & Rudolf, Barbara, 2007. "The Phillips curve under state-dependent pricing," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2321-2345, November.

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    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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