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Ignorance and Uncertainty
Olivier Compte
Andrew Postlewaite
出版
Cambridge University Press
, 2019
主題
Business & Economics / Decision-Making & Problem Solving
Business & Economics / Econometrics
Business & Economics / Statistics
Business & Economics / Economics / General
Mathematics / Game Theory
Mathematics / Probability & Statistics / General
Reference / Research
ISBN
1108422020
9781108422024
URL
http://books.google.com.hk/books?id=BHaIDwAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.