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Monetary discretion, pricing complementarity and dynamic multiple equilibria

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  • Robert G. King
  • Alexander L. Wolman
Abstract
In a plain-vanilla New Keynesian model with two-period staggered price-setting, discretionary monetary policy leads to multiple equilibria. Complementarity between the pricing decisions of forward-looking firms underlies the multiplicity, which is intrinsically dynamic in nature. At each point in time, the discretionary monetary authority optimally accommodates the level of predetermined prices when setting the money supply because it is concerned solely about real activity. Hence, if other firms set a high price in the current period, an individual firm will optimally choose a high price because it knows that the monetary authority next period will accommodate with a high money supply. Under commitment, the mechanism generating complementarity is absent: the monetary authority commits not to respond to future predetermined prices. Multiple equilibria also arise in other similar contexts where (i) a policymaker cannot commit, and (ii) forward-looking agents determine a state variable to which future policy responds.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Robert G. King & Alexander L. Wolman, 2003. "Monetary discretion, pricing complementarity and dynamic multiple equilibria," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgpr:y:2003:x:8
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    References listed on IDEAS

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    More about this item

    Keywords

    Monetary policy;

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation

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