Does Learning Diminish Violations of Independence, Coalescing and Monotonicity?
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DOI: 10.1007/s11238-006-8047-x
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Cited by:
- Wakker, Peter P., 2023. "A criticism of Bernheim & Sprenger's (2020) tests of rank dependence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
- Ilke Aydogan & Yu Gao, 2020. "Experience and rationality under risk: re-examining the impact of sampling experience," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1100-1128, December.
- Dertwinkel-Kalt, Markus & Köster, Mats, 2015.
"Violations of first-order stochastic dominance as salience effects,"
Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 59(C), pages 42-46.
- Dertwinkel-Kalt, Markus & Köster, Mats, 2015. "Violations of first-order stochastic dominance as salience effects," DICE Discussion Papers 189, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Ostermair, Christoph, 2022. "An experimental investigation of the Allais paradox with subjective probabilities and correlated outcomes," Journal of Economic Psychology, Elsevier, vol. 93(C).
- Andreas Glöckner & Baiba Renerte & Ulrich Schmidt, 2020. "Violations of coalescing in parametric utility measurement," Theory and Decision, Springer, vol. 89(4), pages 471-501, November.
- Gijs Kuilen & Peter Wakker, 2006. "Learning in the Allais paradox," Journal of Risk and Uncertainty, Springer, vol. 33(3), pages 155-164, December.
- Michael H. Birnbaum & Ulrich Schmidt & Miriam D. Schneider, 2017.
"Testing independence conditions in the presence of errors and splitting effects,"
Journal of Risk and Uncertainty, Springer, vol. 54(1), pages 61-85, February.
- Birnbaum, Michael H. & Schmidt, Ulrich & Schneider, Miriam D., 2010. "Testing independence conditions in the presence of errors and splitting effects," Kiel Working Papers 1614, Kiel Institute for the World Economy (IfW Kiel).
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Keywords
discovered preferences; event-splitting effects; independence; monotonicity; probability learning;All these keywords.
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