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Does Eye-Tracking Have an Effect on Economic Behavior?

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  • Jennifer Kee
  • Melinda Knuth
  • Joanna Lahey
  • Marco A. Palma

Abstract

Eye-tracking is becoming an increasingly popular tool for understanding the underlying behavior driving economic decisions. However, an important unanswered methodological question is whether the use of an eye-tracking device itself induces changes in the behavior of experiment participants. We study this question using eight popular games in experimental economics. We implement a simple design where participants are randomly assigned to either a control or an eye-tracking treatment condition. In seven of the eight games, eye-tracking did not produce different outcomes. In the Holt and Laury risk assessment (HL), subjects with multiple calibration attempts behave like outliers under eye-tracking conditions, skewing the overall results. Further exploration shows that poor calibrators also show marginally higher levels of negative emotion, which is correlated with higher risk aversion in both HL and in the Eckel and Grossman gambling tasks. Because difficulty calibrating is correlated with eye-tracking data quality, the standard practice of removing participants who did not have good eye-tracking data quality resulted in no difference between the treatment and control groups in HL. Our results suggest that experiments may incorporate eye-tracking equipment without inducing changes in the economic behavior of participants, particularly after observations with low eye-tracking quality are removed.

Suggested Citation

  • Jennifer Kee & Melinda Knuth & Joanna Lahey & Marco A. Palma, 2020. "Does Eye-Tracking Have an Effect on Economic Behavior?," NBER Working Papers 28223, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:28223
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    References listed on IDEAS

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    1. Daniel T. Knoepfle & Joseph Tao-yi Wang & Colin F. Camerer, 2009. "Studying Learning in Games Using Eye-Tracking," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 388-398, 04-05.
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    3. Elena Reutskaja & Rosemarie Nagel & Colin F. Camerer & Antonio Rangel, 2011. "Search Dynamics in Consumer Choice under Time Pressure: An Eye-Tracking Study," American Economic Review, American Economic Association, vol. 101(2), pages 900-926, April.
    4. Joanna N. Lahey & Douglas Oxley, 2016. "The Power of Eye Tracking in Economics Experiments," American Economic Review, American Economic Association, vol. 106(5), pages 309-313, May.
    5. Joseph Tao-yi Wang & Michael Spezio & Colin F. Camerer, 2010. "Pinocchio's Pupil: Using Eyetracking and Pupil Dilation to Understand Truth Telling and Deception in Sender-Receiver Games," American Economic Review, American Economic Association, vol. 100(3), pages 984-1007, June.
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    Cited by:

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    4. Kiryluk-Dryjska, Ewa & Rani, Anshu, 2023. "Neuroeconomic Studies In Agriculture And Food Economics: A Systematic Review Of Literature," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2023(4).

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    More about this item

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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