Abstract

Economists have developed various methods to elicit risk preferences, which can help forecast decision-making in risky scenarios. However, risk elicitation can be complex, and there remain unresolved challenges. Our research demonstrates that repeated exposure to risk elicitation tasks, such as the Holt-Laury and Eckel-Grossman tasks, results in individuals making more consistent decisions with less noise. This suggests that measuring risk preferences after individuals have gained experience and learning can yield more consistent outcomes and provide a more accurate representation of individual risk preferences.

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