STOCHASTIC CHOICE AND CONSIDERATION SETS

被引:154
作者
Manzini, Paola [1 ,2 ]
Mariotti, Marco [1 ]
机构
[1] Univ St Andrews, Sch Econ & Finance, St Andrews KY16 9AL, Fife, Scotland
[2] IZA Inst Labor Econ, Bonn, Germany
关键词
Discrete choice; random utility; logit model; Luce model; consideration sets; bounded rationality; revealed preferences; PROBABILISTIC CHOICE; PREFERENCE; MODEL;
D O I
10.3982/ECTA10575
中图分类号
F [经济];
学科分类号
02 ;
摘要
We model a boundedly rational agent who suffers from limited attention. The agent considers each feasible alternative with a given (unobservable) probability, the attention parameter, and then chooses the alternative that maximizes a preference relation within the set of considered alternatives. We show that this random choice rule is the only one for which the impact of removing an alternative on the choice probability of any other alternative is asymmetric and menu independent. Both the preference relation and the attention parameters are identified uniquely by stochastic choice data.
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页码:1153 / 1176
页数:24
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