期刊
JOURNAL OF RISK AND UNCERTAINTY
卷 51, 期 2, 页码 147-170出版社
SPRINGER
DOI: 10.1007/s11166-015-9226-3
关键词
Complexity aversion; Complexity preferences; Risk preferences; Mixture models; Learning
资金
- University of East Anglia
We analyze lottery-choice data in a way that separately estimates the effects of risk aversion and complexity aversion. Complexity is represented by the number of different outcomes in the lottery. A finite mixture random effects model is estimated which assumes that a proportion of the population are complexity-neutral. We find that around 33% of the population are complexity-neutral, around 50% complexity-averse, and the remaining 17% are complexity-loving. Subjects who do react to complexity appear to have a bias towards complexity aversion at the start of the experiment, but complexity aversion reduces with experience, to the extent that the average subject is (almost) complexity-neutral by the end of the experiment. Complexity aversion is found to increase with age and to be higher for non-UK students than for UK students. We also find some evidence that, when evaluating complex lotteries, subjects perceive probabilities in accordance with Prospective Reference Theory.
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