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Dynamic Pricing and Imperfect Common Knowledge

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Author Info
Kristoffer Nimark (Reserve Bank of Australia)

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Abstract

This paper introduces private information into the dynamic pricing decision of firms in an otherwise standard new Keynesian model by adding an idiosyncratic component to firms’ marginal costs. The model can then replicate two stylised facts about price changes: aggregate inflation responds gradually and with inertia to shocks, while at the same time price changes of individual goods can be quite large. The inertial behaviour of inflation is driven by privately informed firms strategically ‘herding’ on the public information contained in the observations of lagged aggregate variables. The model also matches the average duration between price changes found in the data and it nests the standard new Keynesian Phillips curve as a special case. To solve the model, the paper derives an algorithm for solving a class of dynamic models with higher-order expectations.

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Publisher Info
Paper provided by Reserve Bank of Australia in its series RBA Research Discussion Papers with number rdp2007-12.

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Date of creation: Dec 2007
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Handle: RePEc:rba:rbardp:rdp2007-12

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Related research
Keywords: higher-order expectations; idiosyncratic marginal cost; price dynamics; new Keynesian Phillips curve;

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Find related papers by JEL classification:
E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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  1. Leon W. Berkelmans, 2008. "Imperfect information and monetary models: multiple shocks and their consequences," Finance and Economics Discussion Series 2008-58, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  2. Leonardo Melosi, 2009. "A Likelihood Analysis of Models with Information Frictions," PIER Working Paper Archive 09-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania. [Downloadable!]
  3. Gabriel DESGRANGES and Stéphane GAUTHIER, 2008. "Stabilizing through Poor Information," THEMA Working Papers 2008-32, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise. [Downloadable!]
  4. George-Marios Angeletos & Jennifer La'O, 2009. "Incomplete Information, Higher-Order Beliefs and Price Inertia," NBER Working Papers 15003, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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This page was last updated on 2009-11-9.


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