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Estimation of Adjustment Costs in a Model of State-Dependent Pricing

By Jonathan Willis
December 2000
RWP 00-07
Research Division
Federal Reserve Bank of Kansas City


Abstract

This paper provides a framework for direct analysis of the underlying price adjustment costs in an industry. A dynamic programming problem is specified for monopolistically competitive firms that face idiosyncratic costs of price adjustment. A numerical solution is calculated using value function iteration. I estimate the structural parameters of the model using data on magazine cover prices. Among the parameters estimated are the mean, variance, and persistence of the adjustment cost process. The estimated distribution of adjustment costs is nondegenerate, and the average adjustment cost paid by firms is large in comparison to other results in the literature.

JEL classification: E31, D40, and L11

Keywords: state-dependent pricing, menu costs, price adjustment, indirect inference


Jonathan L.Willis is an economist at the Federal Reserve Bank of Kansas City. This paper is a revised version of the second chapter of his Ph.D. dissertation. He would like to thank Russell Cooper, Simon Gilchrist, John Leahy, and Chris House for their valuable comments. The views expressed herein are solely those of the author and do not necessarily reflect the views of the Federal Reserve Bank of Kansas City or the Federal Reserve System.
Willis E-mail: jonathan.willis@kc.frb.org
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