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Opting-In: Participation Biases in the Lab

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Listed:
  • Slonim, Robert

    (University of Sydney)

  • Wang, Carmen

    (Harvard Business School)

  • Garbarino, Ellen

    (University of Sydney)

  • Merrett, Danielle

    (University of Sydney)

Abstract

Assuming individuals rationally decide whether to participate or not to participate in lab experiments, we hypothesize several non-representative biases in the characteristics of lab participants. We test the hypotheses by first collecting survey and experimental data on a typical recruitment population and then inviting them to participate in a lab experiment. The results indicate that lab participants are not representative of the target population on almost all the hypothesized characteristics, including having lower income, working fewer hours, volunteering more often, and exhibiting behaviors correlated with interest in experiments and economics. We discuss the implications and various methods for addressing non-representative biases.

Suggested Citation

  • Slonim, Robert & Wang, Carmen & Garbarino, Ellen & Merrett, Danielle, 2012. "Opting-In: Participation Biases in the Lab," IZA Discussion Papers 6865, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp6865
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    4. Omar Al-Ubaydli & John A. List, 2013. "On the Generalizability of Experimental Results in Economics: With a Response to Commentors," CESifo Working Paper Series 4543, CESifo.
    5. Matteo M. Galizzi & Daniel Navarro-Martinez, 2019. "On the External Validity of Social Preference Games: A Systematic Lab-Field Study," Management Science, INFORMS, vol. 65(3), pages 976-1002, March.
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    7. Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
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    10. Omar Al-Ubaydli & John List, 2013. "On the Generalizability of Experimental Results in Economics: With A Response To Camerer," Artefactual Field Experiments j0001, The Field Experiments Website.
    11. Laurent Denant-Boemont & Matthieu Leprince & Matthieu Pourieux, 2019. "Distributive Preferences of Public Representatives: A Field-in-the-Lab Experiment," Economics Working Paper from Condorcet Center for political Economy at CREM-CNRS 2019-05-ccr, Condorcet Center for political Economy.
    12. Greiner, Ben & Caravella, Mary & Roth, Alvin E., 2014. "Is avatar-to-avatar communication as effective as face-to-face communication? An Ultimatum Game experiment in First and Second Life," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 374-382.
    13. Johannes Abeler & Daniele Nosenzo, 2013. "Self-selection into Economics Experiments is Driven by Monetary Rewards," Discussion Papers 2013-03, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    14. Judd Kessler & Judd B. Kessler, 2013. "When will there be Gift Exchange? Addressing the Lab-Field Debate with Laboratory Gift Exchange Experiments," CESifo Working Paper Series 4161, CESifo.
    15. Johannes Abeler & Daniele Nosenzo, 2015. "Self-selection into laboratory experiments: pro-social motives versus monetary incentives," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 195-214, June.
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    18. Schmidt, Robert J. & Schwieren, Christiane & Sproten, Alec N., 2018. "Social Norm Perception in Economic Laboratory Experiments: Inexperienced versus Experienced Participants," Working Papers 0656, University of Heidelberg, Department of Economics.
    19. Loukas Balafoutas & Helena Fornwagner, 2017. "The limits of guilt," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 3(2), pages 137-148, December.
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    21. Weili Ding, 2020. "Laboratory experiments can pre-design to address power and selection issues," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(2), pages 125-138, December.
    22. 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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    Keywords

    laboratory experiments; participation bias;

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    • C9 - Mathematical and Quantitative Methods - - Design of Experiments

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