Eliciting risk preferences: When is simple better?

Springer Science and Business Media LLC - Tập 41 - Trang 219-243 - 2010
Chetan Dave1, Catherine C. Eckel2, Cathleen A. Johnson3, Christian Rojas4
1Department of Economics, New York University (Abu Dhabi), New York, USA
2School of Economic, Political, and Policy Sciences, University of Texas at Dallas, Richardson, USA
3Norton School of Family and Consumer Sciences, University of Arizona, Tucson, USA
4Department of Resource Economics, University of Massachusetts Amherst, Amherst, USA

Tóm tắt

We study the estimation of risk preferences with experimental data and focus on the trade-offs when choosing between two different elicitation methods that have different degrees of difficulty for subjects. We analyze how and when a simpler, but coarser, elicitation method may be preferred to the more complex, but finer, one. Results indicate that the more complex measure has overall superior predictive accuracy, but its downside is that subjects exhibit noisier behavior. Our main result is that subjects’ numerical skills can help better assess this tradeoff: the simpler task may be preferred for subjects who exhibit low numeracy, as it generates less noisy behavior but similar predictive accuracy. For subjects with higher numerical skills, the greater predictive accuracy of the more complex task more than outweighs the larger noise. We also explore preference heterogeneity and provide methodological suggestions for future work.

Tài liệu tham khảo

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