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Random Expected Utility
Author(s) -
Gul Faruk,
Pesendorfer Wolfgang
Publication year - 2006
Publication title -
econometrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 16.7
H-Index - 199
eISSN - 1468-0262
pISSN - 0012-9682
DOI - 10.1111/j.1468-0262.2006.00651.x
Subject(s) - expected utility hypothesis , lottery , von neumann–morgenstern utility theorem , mathematics , measure (data warehouse) , probability measure , random variable , mathematical economics , isoelastic utility , axiom , computer science , statistics , geometry , database
We develop and analyze a model of random choice and random expected utility. A decision problem is a finite set of lotteries that describe the feasible choices. A random choice rule associates with each decision problem a probability measure over choices. A random utility function is a probability measure over von Neumann–Morgenstern utility functions. We show that a random choice rule maximizes some random utility function if and only if it is mixture continuous , monotone (the probability that a lottery is chosen does not increase when other lotteries are added to the decision problem), extreme (lotteries that are not extreme points of the decision problem are chosen with probability 0), and linear (satisfies the independence axiom).