IDEAS home Printed from https://ideas.repec.org/p/inu/caeprp/2007018.html
   My bibliography  Save this paper

Comparing Small-Group and Individual Behavior in Lottery-Choice Experiments

Author

Listed:
  • Ronald J. Baker II

    (Millersville University of Pennsylvania)

  • Susan K. Laury

    (Georgia State University)

  • Arlington W. Williams

    (Indiana University Bloomington)

Abstract

Lottery-choice experiments are conducted to compare risk preferences revealed by three-person groups versus isolated individuals. A lottery-choice experiment consists of a menu of paired lottery choices structured so that the crossover point from a low-risk to a high-risk lottery can be used to infer the degree of risk aversion. A between-subjects experiment of group versus individual lottery-choice decisions reveal that there is not a significant difference in the average crossover point, but lottery choices are affected by a significant interaction between subject composition (individual or group) and lottery winning percentage. Also, a three-phased individual-group-individual sequenced experiment reveals that the count of safe lotteries chosen by groups is, on average, significantly greater than the mean of the individual members. Finally, making a phase-two group decision has a significant impact on subsequent phase-three individual decisions relative to the initial phase-one (individual) decisions.

Suggested Citation

  • Ronald J. Baker II & Susan K. Laury & Arlington W. Williams, 2007. "Comparing Small-Group and Individual Behavior in Lottery-Choice Experiments," CAEPR Working Papers 2007-018, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, revised May 2008.
  • Handle: RePEc:inu:caeprp:2007018
    as

    Download full text from publisher

    File URL: https://caepr.indiana.edu/RePEc/inu/caeprp/caepr2007-018.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charles A. Holt & Susan K. Laury, 2005. "Risk Aversion and Incentive Effects: New Data without Order Effects," American Economic Review, American Economic Association, vol. 95(3), pages 902-912, June.
    2. David Masclet & Youenn Loheac & Laurent Denant-Boemont & Nathalie Colombier, 2004. "Group and individual risk preferences: a lottery-choice experiment," Cahiers de la Maison des Sciences Economiques bla06063, Université Panthéon-Sorbonne (Paris 1), revised Sep 2006.
    3. Robert S. Shupp & Arlington W. Williams, 2008. "Risk preference differentials of small groups and individuals," Economic Journal, Royal Economic Society, vol. 118(525), pages 258-283, January.
    4. Glenn W. Harrison & Eric Johnson & Melayne M. McInnes & E. Elisabet Rutström, 2005. "Risk Aversion and Incentive Effects: Comment," American Economic Review, American Economic Association, vol. 95(3), pages 897-901, June.
    5. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    Full references (including those not matched with items on IDEAS)

    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. Ronald J. Baker & Susan K. Laury & Arlington W. Williams, 2008. "Comparing Small‐Group and Individual Behavior in Lottery‐Choice Experiments," Southern Economic Journal, John Wiley & Sons, vol. 75(2), pages 367-382, August.
    2. Sujoy Chakravarty & Glenn W. Harrison & Ernan E. Haruvy & E. Elisabet Rutström, 2011. "Are You Risk Averse over Other People's Money?," Southern Economic Journal, John Wiley & Sons, vol. 77(4), pages 901-913, April.
    3. Ronald J. Baker II & Susan K. Laury & Arlington W. Williams, 2008. "Comparing Small-Group and Individual Behavior in Lottery-Choice Experiments," Southern Economic Journal, Southern Economic Association, vol. 75(2), pages 367-382, October.
    4. Jones, Luke & Cseh, Attila, 2021. "Earning responsibility increases risk taking among representative decision makers," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 317-329.
    5. Howard Kunreuther & Erwann Michel-Kerjan, 2015. "Demand for fixed-price multi-year contracts: Experimental evidence from insurance decisions," Journal of Risk and Uncertainty, Springer, vol. 51(2), pages 171-194, October.
    6. Kerri Brick & Martine Visser & Justine Burns, 2012. "Risk Aversion: Experimental Evidence from South African Fishing Communities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(1), pages 133-152.
    7. Jacquemet, Nicolas & Rullière, Jean-Louis & Vialle, Isabelle, 2008. "Monitoring optimistic agents," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 698-714, November.
    8. Jan-Erik Loennqvist & Markku Verkasalo & Gari Walkowitz & Philipp C. Wichardt, 2011. "Measuring Individual Risk Attitudes in the Lab: Task or Ask? An Empirical Comparison," Cologne Graduate School Working Paper Series 02-03, Cologne Graduate School in Management, Economics and Social Sciences.
    9. Michelson, Hope & Fairbairn, Anna & Ellison, Brenna & Maertens, Annemie & Manyong, Victor, 2021. "Misperceived quality: Fertilizer in Tanzania," Journal of Development Economics, Elsevier, vol. 148(C).
    10. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, Elisabet E., 2010. "Behavioral econometrics for psychologists," Journal of Economic Psychology, Elsevier, vol. 31(4), pages 553-576, August.
    11. Drichoutis, Andreas C. & Nayga, Rodolfo M. & Lusk, Jayson L. & Lazaridis, Panagiotis, 2012. "When a risky prospect is valued more than its best possible outcome," Judgment and Decision Making, Cambridge University Press, vol. 7(1), pages 1-18, January.
    12. Antoni Bosch-Domènech & Joaquim Silvestre, 2013. "Measuring risk aversion with lists: a new bias," Theory and Decision, Springer, vol. 75(4), pages 465-496, October.
    13. Galarza, Francisco, 2009. "Choices under Risk in Rural Peru," MPRA Paper 17708, University Library of Munich, Germany.
    14. Cox, James C., 2010. "Some issues of methods, theories, and experimental designs," Journal of Economic Behavior & Organization, Elsevier, vol. 73(1), pages 24-28, January.
    15. Giuseppe Attanasi & Nikolaos Georgantzís & Valentina Rotondi & Daria Vigani, 2018. "Lottery- and survey-based risk attitudes linked through a multichoice elicitation task," Theory and Decision, Springer, vol. 84(3), pages 341-372, May.
    16. Lönnqvist, Jan-Erik & Verkasalo, Markku & Walkowitz, Gari & Wichardt, Philipp C., 2015. "Measuring individual risk attitudes in the lab: Task or ask? An empirical comparison," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 254-266.
    17. Eriksen, Kristoffer W. & Kvaløy, Ola & Luzuriaga, Miguel, 2020. "Risk-taking on behalf of others," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    18. March, Christoph & Sahm, Marco, 2018. "Contests as selection mechanisms: The impact of risk aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 114-131.
    19. David Masclet & Youenn Loheac & Laurent Denant-Boemont & Nathalie Colombier, 2004. "Group and individual risk preferences: a lottery-choice experiment," Cahiers de la Maison des Sciences Economiques bla06063, Université Panthéon-Sorbonne (Paris 1), revised Sep 2006.
    20. Bartczak, Anna & Chilton, Susan & Meyerhoff, Jürgen, 2015. "Wildfires in Poland: The impact of risk preferences and loss aversion on environmental choices," Ecological Economics, Elsevier, vol. 116(C), pages 300-309.

    More about this item

    Keywords

    lab experiments; risk preferences; group decisions;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:inu:caeprp:2007018. 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: Center for Applied Economics and Policy Research (email available below). General contact details of provider: https://edirc.repec.org/data/caeprus.html .

    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.