000 02359nam a2200397 i 4500
001 CR9781108379991
003 UkCbUP
005 20240910180858.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 170508s2019||||enk o ||1 0|eng|d
020 _a9781108379991 (ebook)
020 _z9781108422024 (hardback)
020 _z9781108434492 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aHB135
_b.C63164 2019
082 0 0 _a330.01/5195
_223
100 1 _aCompte, Olivier,
_eauthor.
245 1 0 _aIgnorance and uncertainty /
_cOlivier Compte, Andrew Postlewaite.
264 1 _aCambridge :
_bCambridge University Press,
_c2019.
300 _a1 online resource (xiv, 287 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aEconometric society monograph series
500 _aTitle from publisher's bibliographic system (viewed on 11 Dec 2018).
520 _aBorn 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.
650 0 _aEconomics
_xMathematical models.
650 0 _aDecision making
_xMathematical models.
650 0 _aGame theory
_xMathematical models.
700 1 _aPostlewaite, Andrew,
_eauthor.
776 0 8 _iPrint version:
_z9781108422024
830 0 _aEconometric society monograph series.
856 4 0 _uhttps://doi.org/10.1017/9781108379991
942 _2ddc
_cEB
999 _c10091
_d10091