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Selection into Experiments: Evidence from a Population of Students

Author

Listed:
  • Schulz, Jonathan F.

    (George Mason University)

  • Sunde, Uwe

    (University of Munich)

  • Thiemann, Petra

    (Lund University)

  • Thöni, Christian

    (University of Lausanne)

Abstract
This study investigates the selection into lab experiments among university students based on data from two cohorts of a university's first-year students. The analysis combines two experiments: a classroom experiment in which we elicited measures for risk, time, social preferences, confidence, and cognitive skills using standard measures from the experimental literature; and a recruitment experiment that varied information provided in a typical e-mail recruitment procedure for lab participants. In the recruitment experiment, students were randomly assigned to four conditions that highlighted altruistic motives or financial incentives. We find significant treatment effects: mentioning financial incentives boosts the participation rate in lab experiments by 50 percent. In terms of selection, we find that more selfish individuals and individuals with higher cognitive reflection scores are more likely to participate in experiments, but we find little evidence for selection along risk preferences, time preferences, and overconfidence. Although the recruitment conditions affect participation rates, they do not alter the composition of the participant sample in terms of behavioral measures and cognitive skills.

Suggested Citation

  • Schulz, Jonathan F. & Sunde, Uwe & Thiemann, Petra & Thöni, Christian, 2019. "Selection into Experiments: Evidence from a Population of Students," IZA Discussion Papers 12807, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp12807
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    References listed on IDEAS

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    Cited by:

    1. Gerhard Riener & Sebastian Schneider & Valentin Wagner, 2020. "Addressing Validity and Generalizability Concerns in Field Experiments," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2020_16, Max Planck Institute for Research on Collective Goods.
    2. Thiemann, Petra & Schulz, Jonathan & Sunde, Uwe & Thöni, Christian, 2022. "Selection into experiments: New evidence on the role of preferences, cognition, and recruitment protocols," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    3. Normann, Hans-Theo & Sternberg, Martin, 2022. "Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets," DICE Discussion Papers 392, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    4. Hans-Theo Normann & Martin Sternberg, 2021. "Human-Algorithm Interaction: Algorithmic Pricing in Hybrid Laboratory Markets," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2021_11, Max Planck Institute for Research on Collective Goods, revised 13 Apr 2022.
    5. Aurélie Dariel & Nikos Nikiforakis & Jan Stoop, 2020. "Does selection bias cause us to overestimate gender differences in competitiveness?," Working Papers 20200046, New York University Abu Dhabi, Department of Social Science, revised May 2020.

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    More about this item

    Keywords

    classroom experiment; selection; recruitment; preferences; cognitive abilities;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • L3 - Industrial Organization - - Nonprofit Organizations and Public Enterprise

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