IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v21y2019icp10-14.html
   My bibliography  Save this article

A technical note on the precise timing of behavioral events in economic experiments

Author

Listed:
  • Perakakis, Pandelis
  • Guinot-Saporta, José
  • Jaber-Lopez, Tarek
  • García-Gallego, Aurora
  • Georgantzis, Nikolaos

Abstract

The increasing use of physiological recordings in experimental economics requires a precise timing of interesting events, such as the presentation of a set of choices, the decision-making moment and the reception of feedback through the display of a decision outcome. In this note we provide a simple, accurate and inexpensive solution based on the use of external photo-sensors that detect changes in light intensity on the participants’ screens occurring in synchrony with experimental events. This system ensures an accurate communication between standard programs broadly used to run behavioral economic experiments, such as z-Tree, and eye-tracking devices or biosignal acquisition systems recording physiological variables, such as skin conductance, heart rate and electroencephalogram. An example is briefly discussed, offering specific guidelines for the application of this methodology in economic contexts with strategic interaction.

Suggested Citation

  • Perakakis, Pandelis & Guinot-Saporta, José & Jaber-Lopez, Tarek & García-Gallego, Aurora & Georgantzis, Nikolaos, 2019. "A technical note on the precise timing of behavioral events in economic experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 10-14.
  • Handle: RePEc:eee:beexfi:v:21:y:2019:i:c:p:10-14
    DOI: 10.1016/j.jbef.2018.08.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214635018301163
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jbef.2018.08.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Doyle, Leonard & Schindler, David, 2015. "muCap: Connecting FaceReader™ to z-Tree," Discussion Papers in Economics 24809, University of Munich, Department of Economics.
    3. Ariel Rubinstein, 2007. "Instinctive and Cognitive Reasoning: A Study of Response Times," Economic Journal, Royal Economic Society, vol. 117(523), pages 1243-1259, October.
    4. Giorgio Coricelli & Mateus Joffily & Claude Montmarquette & Marie Villeval, 2010. "Cheating, emotions, and rationality: an experiment on tax evasion," Experimental Economics, Springer;Economic Science Association, vol. 13(2), pages 226-247, June.
    5. Breaban, Adriana & van de Kuilen, Gijs & Noussair, Charles, 2016. "Prudence, Personality, Cognitive Ability and Emotional State," Discussion Paper 2016-030, Tilburg University, Center for Economic Research.
    6. Adriana Breaban & Charles N Noussair, 2018. "Emotional State and Market Behavior [Bubbling with excitement: en experiment]," Review of Finance, European Finance Association, vol. 22(1), pages 279-309.
    7. Tarek Jaber-Lopez, 2014. "Physiological and behavioral patterns of corruption," Post-Print hal-02975932, HAL.
    8. Uwe Dulleck & Markus Schaffner & Benno Torgler, 2014. "Heartbeat and Economic Decisions: Observing Mental Stress among Proposers and Responders in the Ultimatum Bargaining Game," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-9, September.
    9. Roberto Censolo & Laila Craighero & Giovanni Ponti & Leonzio Rizzo & Rosario Canto & Luciano Fadiga, 2011. "Electromyographic Activity of Hand Muscles in a Motor Coordination Game: Effect of Incentive Scheme and Its Relation with Social Capital," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-9, March.
    10. Buser, Thomas & Dreber, Anna & Mollerstrom, Johanna, 2015. "Stress Reactions Cannot Explain the Gender Gap in Willingness to Compete," Working Paper Series 1071, Research Institute of Industrial Economics.
    11. Ariel Rubinstein, 2007. "Instinctive and Cognitive Reasoning: Response Times Study," Levine's Bibliography 321307000000001011, UCLA Department of Economics.
    12. Breaban, Adriana & Van De Kuilen, Gijs & Noussair, Charles N., 2016. "Prudence, emotional state, personality, and cognitive ability," Other publications TiSEM 0ac205ac-aee3-4df2-82ee-6, Tilburg University, School of Economics and Management.
    13. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Leonidas Spiliopoulos & Andreas Ortmann, 2018. "The BCD of response time analysis in experimental economics," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 383-433, June.
    2. Patrick Ring & Ulrich Schmidt, 2019. "Skin conductance responses in anticipation of gains and losses," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 38-50, August.
    3. Leonard Doyle & David Schindler, 2019. "$$\mu$$ μ Cap: connecting FaceReader™ to z-Tree," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 136-141, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Recalde, María P. & Riedl, Arno & Vesterlund, Lise, 2018. "Error-prone inference from response time: The case of intuitive generosity in public-good games," Journal of Public Economics, Elsevier, vol. 160(C), pages 132-147.
    2. Guidon Fenig & Giovanni Gallipoli & Yoram Halevy, 2018. "Piercing the 'Payoff Function' Veil: Tracing Beliefs and Motives," Working Papers tecipa-619, University of Toronto, Department of Economics.
    3. Fadong Chen & Urs Fischbacher, 2016. "Response time and click position: cheap indicators of preferences," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 2(2), pages 109-126, November.
    4. Leonard Doyle & David Schindler, 2019. "$$\mu$$ μ Cap: connecting FaceReader™ to z-Tree," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 136-141, August.
    5. Ho Fai Chan & Uwe Dulleck & Benno Torgler, 2019. "Response Times and Tax Compliance," Games, MDPI, vol. 10(4), pages 1-13, November.
    6. Ispano, Alessandro & Schwardmann, Peter, 2017. "Cooperating over losses and competing over gains: A social dilemma experiment," Games and Economic Behavior, Elsevier, vol. 105(C), pages 329-348.
    7. Anna Louisa Merkel & Johannes Lohse, 2019. "Is fairness intuitive? An experiment accounting for subjective utility differences under time pressure," Experimental Economics, Springer;Economic Science Association, vol. 22(1), pages 24-50, March.
    8. Tiziana Assenza & Te Bao & Cars Hommes & Domenico Massaro, 2014. "Experiments on Expectations in Macroeconomics and Finance," Research in Experimental Economics, in: Experiments in Macroeconomics, volume 17, pages 11-70, Emerald Group Publishing Limited.
    9. Pintér, Ágnes & Veszteg, Róbert F., 2010. "Minority vs. majority: An experimental study of standardized bids," European Journal of Political Economy, Elsevier, vol. 26(1), pages 36-50, March.
    10. Kristian Ove R. Myrseth & Gerhard Riener & Conny Wollbrant, 2013. "Tangible temptation in the social dilemma: Cash, cooperation, and self-control," ESMT Research Working Papers ESMT-13-04, ESMT European School of Management and Technology.
    11. Fehr, Dietmar & Sutter, Matthias, 2019. "Gossip and the efficiency of interactions," Games and Economic Behavior, Elsevier, vol. 113(C), pages 448-460.
    12. Buckert, Magdalena & Oechssler, Jörg & Schwieren, Christiane, 2017. "Imitation under stress," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 252-266.
    13. Bruttel, Lisa & Fischbacher, Urs, 2013. "Taking the initiative. What characterizes leaders?," European Economic Review, Elsevier, vol. 64(C), pages 147-168.
    14. Gerhardt, Holger & Schildberg-Hörisch, Hannah & Willrodt, Jana, 2017. "Does self-control depletion affect risk attitudes?," European Economic Review, Elsevier, vol. 100(C), pages 463-487.
    15. Pablo Brañas-Garza & Debrah Meloso & Luis Miller, 2017. "Strategic risk and response time across games," International Journal of Game Theory, Springer;Game Theory Society, vol. 46(2), pages 511-523, May.
    16. Regina Anselm & Deepti Bhatia & Urs Fischbacher & Jan Hausfeld, 2022. "Blame and Praise: Responsibility Attribution Patterns in Decision Chains," TWI Research Paper Series 126, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    17. Lindner, Florian, 2014. "Decision time and steps of reasoning in a competitive market entry game," Economics Letters, Elsevier, vol. 122(1), pages 7-11.
    18. Kaushik Basu & Leonardo Becchetti & Luca Stanca, 2011. "Experiments with the Traveler’s Dilemma: welfare, strategic choice and implicit collusion," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 37(4), pages 575-595, October.
    19. Benjamin Enke, 2020. "What You See Is All There Is," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(3), pages 1363-1398.
    20. Roman M. Sheremeta, 2016. "Impulsive Behavior in Competition: Testing Theories of Overbidding in Rent-Seeking Contests," Working Papers 16-21, Chapman University, Economic Science Institute.

    More about this item

    Keywords

    Economic experiments; Timing of events; Psychophysiology; Physioeconomics; Eye tracking;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:beexfi:v:21:y:2019:i:c:p:10-14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.