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Measuring uncertainty preferences: what we know and what we need

Martin G. Kocher

The Geneva Risk and Insurance Review2025https://doi.org/10.1057/s10713-025-00110-6article
AJG 2ABDC B
Weight
0.50

What the paper says

Abstract We often want to predict individual behavior under uncertainty in relevant decision-making settings based on the elicitation of individual uncertainty attitudes. This paper surveys different approaches to measure uncertainty preferences and studies that correlate measured preferences with decision-making behavior in different domains such as finance or insurance. We argue that the predictive power of elicited preferences in many studies is limited and suggest several potential ways forward for future research.

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https://doi.org/https://doi.org/10.1057/s10713-025-00110-6

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@article{martin2025,
  title        = {{Measuring uncertainty preferences: what we know and what we need}},
  author       = {Martin G. Kocher},
  journal      = {The Geneva Risk and Insurance Review},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1057/s10713-025-00110-6},
}

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Measuring uncertainty preferences: what we know and what we need

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.