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Adaptive Learning and the Transition to Fiat Money

Bibliographic Data

ID9713145
AuthorsGeorge Selgin (University of Georgia, corresponding author)
Year2003
Volume113
Issue484
Pages147-165
Publication date2003-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/1468-0297.00094
OpenAlexW2009180614
LanguageEN
Citations received6
References cited17

This article explores some implications of adaptive learning for monetary evolution using a search--theoretic framework that allows for media--of--exchange network effects. Adaptive learning precludes any voluntary transition to a fiat standard from a non--monetary state of nature and can account for the historically--observed tendency for fiat monetary standards to emerge only following the prior appearance of commodity money and the widespread employment of redeemable banknotes. Adaptive learning can also account for governments" frequent resort to coercive measures to force a switch to fiat money and for their ability to affect such a switch even when doing so is not Pareto optimal. Copyright Royal Economic Society 2003

Adaptive Learning · Commodity · Economics · Fiat money · Market economy · Monetary economics · Monetary policy · Operations management · Pareto principle · Transition (genetics · Artificial Intelligence · Complex Systems and Time Series Analysis · Computer Science · Economic Policies and Impacts · Economic theories and models

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Unique citing works6
Citations per year0,26
Citation span2003 - 2024 (22)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 6

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