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RECURSIVE AMBIGUITY AND MACHINA'S EXAMPLES
Author(s) -
Dillenberger David,
Segal Uzi
Publication year - 2015
Publication title -
international economic review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.658
H-Index - 86
eISSN - 1468-2354
pISSN - 0020-6598
DOI - 10.1111/iere.12094
Subject(s) - ambiguity , ambiguity aversion , mathematical economics , economics , knightian uncertainty , econometrics , computer science , programming language
Machina ( American Economic Review 99 (2009), 385–392; American Economic Review 104 (2014), 3814–40) lists a number of situations where Choquet expected utility, as well as other known models of ambiguity aversion, cannot capture plausible features of ambiguity attitudes. Most of these problems arise in choice over prospects involving three or more outcomes. We show that the recursive nonexpected utility model of Segal ( International Economic Review 28 (1987), 175–202) is rich enough to accommodate all these situations and, moreover, that this can be done using the same functional form for all situations.