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• W3125170109 abstract "An ever increasing number of experiments attempts to elicit risk preferences of a population of interest with the aim of calibrating parameters used in economic models. We are concerned with two types of selection effects, which may affect the external validity of standard experiments: Sampling from a narrowly defined population of students (experimenter-induced selection) and self-selection of participants into the experiment. We find that both types of selection lead to a sample of experts: Participants perform significantly better than the general population, in the sense of fewer violations of revealed preference conditions. Self-selection within a broad population does not seem to matter for average preferences. In contrast, sampling from a student population leads to lower estimates of average risk aversion and loss aversion parameters. Furthermore, it dramatically reduces the amount of heterogeneity in all parameters." @default.
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• W3125170109 date "2011-01-01" @default.
• W3125170109 modified "2023-10-03" @default.
• W3125170109 title "Experts in Experiments: How Selection Matters for Estimated Distributions of Risk Preferences" @default.
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• W3125170109 doi "https://doi.org/10.2139/ssrn.1790686" @default.
• W3125170109 hasPublicationYear "2011" @default.
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