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Selection Without Lock-In: Adaptive Learning, Residual Strategy Sets,and Incomplete Clearance in the 2008 and 2022–23 Crises

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1017/cbo9780511610240.004openalex-snapshot

Global Games: Theory and Applications

inferredcites →https://doi.org/10.1073/pnas.032086299openalex-snapshot

Chaos in learning a simple two-person game

inferredcites →https://doi.org/10.1073/pnas.1109672110openalex-snapshot

Complex dynamics in learning complicated games

inferredcites →https://doi.org/10.1086/261155openalex-snapshot

Bank Runs, Deposit Insurance, and Liquidity

inferredcites →https://doi.org/10.1111/1468-0262.00054openalex-snapshot

Experience-weighted Attraction Learning in Normal Form Games

inferredcites →https://doi.org/10.1111/jmcb.13030openalex-snapshot

Financial Crises as a Phenomenon of Multiple Equilibria and How to Select among Them

inferredcites →https://doi.org/10.2307/2951491openalex-snapshot

Global Games and Equilibrium Selection

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.