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Identification of self-selection biases in field experiments using stated preference experiments

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  • Jasper Knockaert
  • Stefanie Peer
  • Erik Verhoef

Abstract

If left unidentified and uncorrected, self-selection biases may greatly compromise the external validity of the outcomes of field experiments. We show that self-selection biases in terms of observed und unobserved characteristics can be well identified and corrected by means of a complementary stated preference (SP) experiment conducted among the participants and non-participants of a field experiment. In the SP experiment, respondents are confronted with hypothetical choice situations that closely resemble the choice situations present in the field experiment. The SP experiment does not only allow us to compare participants and non-participants with respect to their behavior and implied preferences in the hypothetical choice situations, but also renders it possible to infer how non-participants would have behaved if they had decided to participate, using an innovative modeling approach to elicit the corresponding preference structures. We apply this approach in the context of a large-scale field experiment in which train commuters received monetary rewards for traveling outside peak hours. We find strong self-selection biases, especially with respect to the marginal utility of income, which is significantly higher among participants of the field experiment.

Suggested Citation

  • Jasper Knockaert & Stefanie Peer & Erik Verhoef, 2016. "Identification of self-selection biases in field experiments using stated preference experiments," Natural Field Experiments 00568, The Field Experiments Website.
  • Handle: RePEc:feb:natura:00568
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    References listed on IDEAS

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    1. Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2007. "Estimating Risk Attitudes in Denmark: A Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 341-368, June.
    2. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    3. Thomas Dohmen & Armin Falk, 2010. "You Get What You Pay For: Incentives and Selection in the Education System," Economic Journal, Royal Economic Society, vol. 120(546), pages 256-271, August.
    4. Stefanie Peer & Erik Verhoef & Jasper Knockaert & Paul Koster & Yin-Yen Tseng, 2011. "Long-Run vs. Short-Run Perspectives on Consumer Scheduling: Evidence from a Revealed-Preference Experiment among Peak-Hour Road Commuters," Tinbergen Institute Discussion Papers 11-181/3, Tinbergen Institute, revised 25 Aug 2014.
    5. Knockaert, Jasper & Tseng, Yin-Yen & Verhoef, Erik T. & Rouwendal, Jan, 2012. "The Spitsmijden experiment: A reward to battle congestion," Transport Policy, Elsevier, vol. 24(C), pages 260-272.
    6. Hans-Martin Gaudecker & Arthur Soest & Erik Wengström, 2012. "Experts in experiments," Journal of Risk and Uncertainty, Springer, vol. 45(2), pages 159-190, October.
    7. John A. List, 2006. "The Behavioralist Meets the Market: Measuring Social Preferences and Reputation Effects in Actual Transactions," Journal of Political Economy, University of Chicago Press, vol. 114(1), pages 1-37, February.
    8. Hensher, David A., 2010. "Hypothetical bias, choice experiments and willingness to pay," Transportation Research Part B: Methodological, Elsevier, vol. 44(6), pages 735-752, July.
    9. List John A., 2007. "Field Experiments: A Bridge between Lab and Naturally Occurring Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(2), pages 1-47, April.
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, June.
    11. Peer, Stefanie & Knockaert, Jasper & Koster, Paul & Verhoef, Erik T., 2014. "Over-reporting vs. overreacting: Commuters’ perceptions of travel times," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 476-494.
    12. Pieter A. Gautier & Bas van der Klaauw, 2012. "Selection in a field experiment with voluntary participation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(1), pages 63-84, January.
    13. Blair Cleave & Nikos Nikiforakis & Robert Slonim, 2013. "Is there selection bias in laboratory experiments? The case of social and risk preferences," Experimental Economics, Springer;Economic Science Association, vol. 16(3), pages 372-382, September.
    14. Harrison, Glenn W. & Lau, Morten I. & Elisabet Rutström, E., 2009. "Risk attitudes, randomization to treatment, and self-selection into experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 70(3), pages 498-507, June.
    15. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    16. Vickrey, William S, 1969. "Congestion Theory and Transport Investment," American Economic Review, American Economic Association, vol. 59(2), pages 251-260, May.
    17. Peer, Stefanie & Knockaert, Jasper & Verhoef, Erik T., 2016. "Train commuters’ scheduling preferences: Evidence from a large-scale peak avoidance experiment," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 314-333.
    18. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
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