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Learning and Equilibrium Selection in a Monetary Overlapping Generations Economy with Sticky Prices

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Author Info
Klaus Adam (Goethe University of Frankfurt)

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Abstract

We study adaptive learning in a monetary overlapping generations model with sticky prices and monopolistic competition for the case where learning agents observe current endogenous variables. Observability of current variables is essential for informational consistency of the learning setup with the model setup but generates multiple temporary equilibria when prices are flexible and prevents a straightforward construction of the learning dynamics. Sticky prices overcome this problem by avoiding simultaneity between prices and price expectations. Adaptive learning then robustly selects the determinate (monetary) steady state independent from the degree of imperfect competition. The indeterminate (non-monetary) steady state and non-stationary equilibria are never stable. Stability in a deterministic version of the model may differ because perfect foresight equilibria can be the limit of restricted perceptions equilibria of the stochastic economy with vanishing noise and thereby inherit different stability properties. This discontinuity at the zero variance of shocks suggests to analyze learning in stochastic models.

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File URL: http://129.3.20.41/eps/mac/papers/0211/0211014.pdf
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Publisher Info
Paper provided by EconWPA in its series Macroeconomics with number 0211014.

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Date of creation: 22 Nov 2002
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Handle: RePEc:wpa:wuwpma:0211014

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Web page: http://129.3.20.41

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Related research
Keywords: adaptive learning; sticky prices; temporary equilibrium;

Find related papers by JEL classification:
E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
C62 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Existence and Stability Conditions of Equilibrium

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This page was last updated on 2009-12-26.


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