We study the distribution of retail price adjustments under the assumption that firms are more likely to adjust their prices when doing so is more valuable. Our setup nests Calvo (1983 ) at one extreme and a fixed menu cost model at the other; all parameterizations are ranked by a measure of state dependence. High state dependence implies, counterfactually, that there are no small price changes and that the variance of price changes falls sharply with trend inflation. The parameterization that best fits microdata has low state dependence, implying a Phillips curve coefficient 60% as large as that of the Calvo model, but is nonetheless well behaved at high inflation rates.
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Costain et al. (2011) studied this question.
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