- Publisher: Cambridge University Press
- Online publication date: November 2018
- Print publication year: 2018
- Online ISBN: 9781108379991
Born of a belief that economic insights should not require much mathematical sophistication, this book proposes novel and parsimonious methods to incorporate ignorance and uncertainty into economic modeling, without complex mathematics. Economics has made great strides over the past several decades in modeling agents' decisions when they are incompletely informed, but many economists believe that there are aspects of these models that are less than satisfactory. Among the concerns are that ignorance is not captured well in most models, that agents' presumed cognitive ability is implausible, and that derived optimal behavior is sometimes driven by the fine details of the model rather than the underlying economics. Compte and Postlewaite lay out a tractable way to address these concerns, and to incorporate plausible limitations on agents' sophistication. A central aspect of the proposed methodology is to restrict the strategies assumed available to agents.
Larry Samuelson - A. Douglas Melamed Professor of Economics, Yale University, Connecticut
Ariel Rubinstein - Tel Aviv University and New York University
Paul Klemperer - Edgeworth Professor of Economics, University of Oxford
Itzhak Gilboa - Tel Aviv University and École des hautes études commerciales de Paris
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