Recursive Ambiguity and Machina’s Examples
Machina (2009, 2012) lists a number of situations where standard models of ambiguity aversion are unable to 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 non-expected utility model of Segal (1987) is rich enough to accommodate all these situations.
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- Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005.
"A Smooth Model of Decision Making under Ambiguity,"
Econometric Society, vol. 73(6), pages 1849-1892, November.
- Sujoy Mukerji & Peter Klibanoff, 2002. "A Smooth Model of Decision,Making Under Ambiguity," Economics Series Working Papers 113, University of Oxford, Department of Economics.
- Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2002. "A smooth model of decision making under ambiguity," ICER Working Papers - Applied Mathematics Series 11-2003, ICER - International Centre for Economic Research, revised Apr 2003.
- Halevy, Yoram, 2005.
"Ellsberg Revisited: an Experimental Study,"
Microeconomics.ca working papers
halevy-05-07-26-11-51-13, Vancouver School of Economics, revised 25 Feb 2014.
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- Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, Oxford University Press, vol. 75(4), pages 643-669.
- Aurelien Baillon & Olivier L'Haridon & Laetitia Placido, 2011.
"Ambiguity Models and the Machina Paradoxes,"
American Economic Review,
American Economic Association, vol. 101(4), pages 1547-60, June.
- Laetitia Placido & Aurélien Baillon & Olivier L'Haridon, 2011. "Ambiguity models and the Machina paradoxes," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00645899, HAL.
- Dillenberger, David, 2008. "Preferences for One-Shot Resolution of Uncertainty and Allais-Type Behavior," MPRA Paper 8342, University Library of Munich, Germany.
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