Revisiting Savage in a conditional world

By Paolo Ghirardato. 2002

205 citations recorded by the source corpus.

Subfields: Artificial Intelligence, General Decision Sciences, Philosophy

View Paper: https://www.semanticscholar.org/paper/457a102c968ca9fd32b82d3778d4e5d0503a550c

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Citations in the corpus

RISK MEASURES: RATIONALITY AND DIVERSIFICATION (2010, background): “The latter property is inspired by Savage (1954)’s “sure thing principle” and clearly hints at dynamic consistency (see, e.g., Ghirardato 2002).23 The seminal paper of Ellsberg (1961) shows how this assumption is noncontroversial only if agents think that P is a reliable model of the uncertainty…”
Modeling the Change of Paradigm: Non-Bayesian Reactions to Unexpected News † (2012, background): “∗I would like to thank Kim Border, Paolo Ghirardato, Federico Echenique, Leeat Yariv, Leonardo Pejsachowicz, Gil Riella, and the participants at seminars at ASU, Caltech, Collegio Carlo Alberto, and SWET 2010 for useful comments and discussions. (1)For experimental evidence of violations of Bayes’ r”
Revealed Ambiguity and Its Consequences: Updating (2008, methodology): “It is the model studied by GMM (see also Nehring (2001) and Ghirardato et al. (2003)), which relaxes Gilboa and Schmeidler’s axiomatization of MEU by not imposing their “ambiguity aversion” axiom (and is constructed in a fully subjective setting).”
Ambiguity and Ambiguity Aversion (2014, methodology): “Axiomatizations of MEU which do not rely on horse-roulette acts, but require a rich outcome space, have been provided by Casadesus-Masanell, Klibanoff and Ozdenoren (2000a,2000b) and Ghirardato, Maccheroni, Marinacci and Siniscalchi (2003).”
Updating Ambiguity Averse Preferences (2009, background): “Axiom 3.2 DC1 For any (%; E; g; B) 2 D, if f; h 2 B with f = h = g on E c and f % h then f % E;g;B h. Requirements implying this appear in a number of places in the literature (e.g., Machina [1989] , Machina and Schmeidler [1992], Epstein and Le Breton [1993] and Ghirardato [2002]).”
Recursive smooth ambiguity preferences (2009, background): “, Gilboa and Schmeidler (1989)) with a given set of measures may be seen as a limiting case of our model with innite ambiguity aversion.1 The functional representation obtained in KMM is particularly useful in economic modeling in answering comparative statics questions involving ambiguity. Take an”
Differentiating ambiguity and ambiguity attitude (2004, background): “See Ghirardato and Marinacci [21] for an explanation of our departure from that terminology.”