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Ignorance and uncertainty
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Ignorance and uncertainty/ Olivier Compte, Andrew Postlewaite.
作者:
Compte, Olivier.
其他作者:
Postlewaite, Andrew.
出版者:
Cambridge :Cambridge University Press, : 2019.,
面頁冊數:
xiv, 287 p. :ill., digital ;24 cm.
附註:
Title from publisher's bibliographic system (viewed on 11 Dec 2018).
標題:
Economics - Mathematical models. -
電子資源:
https://doi.org/10.1017/9781108379991
ISBN:
9781108379991
Ignorance and uncertainty
Compte, Olivier.
Ignorance and uncertainty
[electronic resource] /Olivier Compte, Andrew Postlewaite. - Cambridge :Cambridge University Press,2019. - xiv, 287 p. :ill., digital ;24 cm. - Econometric society monograph series. - Econometric society monograph series..
Title from publisher's bibliographic system (viewed on 11 Dec 2018).
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.
ISBN: 9781108379991Subjects--Topical Terms:
654250
Economics
--Mathematical models.
LC Class. No.: HB135 / .C63164 2019
Dewey Class. No.: 330.015195
Ignorance and uncertainty
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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.
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https://doi.org/10.1017/9781108379991
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