01756pab a2200181 454500008004000000100002200040245008000062260000900142300001700151362000800168520120300176650001901379773003501398908000601433909001101439999001901450952010501469180718b2013   xxu||||| |||| 00| 0 eng d  aCamerer, Colin F.  aA review essay about foundations of neuroeconomic analysis by Paul Glimcher  c2013  ap.1155-1182.  aDec  aNeuroeconomics aims to discover mechanisms of economic decision, and express them mathematically, to predict observed choice. While the contents of neuroeconomic models and evidence are obviously different than in traditional economics, (some of the) goals are identical: to explain and predict choice, the effects of comparative statics, and perhaps make interesting new welfare judgments that are defensible. To this end, Paul Glimcher's important book carefully describes how economics, psychological, and neural levels of explanation can be linked (a structure which has been successful in visual neuroscience). As Glimcher shows, the neural evidence is quite strong for a process of learning valuations through prediction error, and a simple model of neural valuation and comparison that corresponds to random utility (though subject to normalization, which produces menu effects). There is also rapidly growing evidence for more complicated constructs in behavioral economics, including prospect theory's account of risky choice, hyperbolic time discounting, level-k models of games, and social preferences corresponding to internal reward based on what happens to other agents. - Reproduced.  aNeuroeconomics  aJournal of Economic Literature  aN  a103422  c103418d103418  00104070aIIPAbIIPAd2018-07-19hVolume no: 51, Issue no: 4pAR103882r2018-07-19w2018-07-19yAR