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Learning, inflation, and the Phillips curve

Authors: Kaplan, Duygu;

Learning, inflation, and the Phillips curve

Abstract

The Replicator Dynamics of Evolutionary Game Theory is introduced in a closed economy so as to model how a continuum of firms evolve over time with respect to the pricing strategies. Incorporation- of Replicator Dynamics facilitates modelling microeconomic frictions that lead to a Phillips Curve on the macroeconomic level. I'he firms are boundedly rational players which are learning, and are apt to make mistakes. Mistakes function as a mutation process and prevent a strategy from becoming extinct. An arbitrary non-empty set of consumers face a cash-in-advance constraint and total consumption spending is symmetrically affected by changes in growth rate of money supply which is stochastic. Using a discrete price set, we introduce heterogeneity of firm behaviour in a single homogenous good market. The economy is simulated ibr a large number of finitely many time periods. A Phillips Curve type linkage between infiation and output is recognized at stationary states. The slope of the Phillips Curve is observed to increase as mean of money growth rate gets higher or as the uncertainty in money growth rate is increased. Slope of the Phillips Curve diminishes as price stickiness is intensified by either reducing the mistake level or by increasing the firms' responsiveness to relative payoff realizations.

Includes bibliographical references leaves 44-51.

Cataloged from PDF version of article.

Kaplan, Duygu

Country
Turkey
Related Organizations
Keywords

Phillips Curve, Inflation (Finance)--Mathematical models., Phillips Curve., Economics, Phillips curve, HG229 .K37 2000, Inflation, Inflation (Finance)--Mathematical models, 339, Learning, Phillips Cuiwe, Ekonomi, Replicator Dynamics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green