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Experts in Experiments: How Selection Matters for Estimated Distributions of Risk Preferences

Author

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  • Gaudecker, Hans-Martin von

    (University of Bonn)

  • van Soest, Arthur

    (Tilburg University)

  • Wengström, Erik

    (Lund University)

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.

Suggested Citation

  • Gaudecker, Hans-Martin von & van Soest, Arthur & Wengström, Erik, 2011. "Experts in Experiments: How Selection Matters for Estimated Distributions of Risk Preferences," IZA Discussion Papers 5575, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp5575
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    More about this item

    Keywords

    laboratory experiments; risk aversion; loss aversion; internet surveys;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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