IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/15453.html
   My bibliography  Save this paper

Are CEOs Expected Utility Maximizers?

Author

Listed:
  • John List
  • Charles Mason

Abstract

Are individuals expected utility maximizers? This question represents much more than academic curiosity. In a normative sense, at stake are the fundamental underpinnings of the bulk of the last half-century's models of choice under uncertainty. From a positive perspective, the ubiquitous use of benefit-cost analysis across government agencies renders the expected utility maximization paradigm literally the only game in town. In this study, we advance the literature by exploring CEO's preferences over small probability, high loss lotteries. Using undergraduate students as our experimental control group, we find that both our CEO and student subject pools exhibit frequent and large departures from expected utility theory. In addition, as the extreme payoffs become more likely CEOs exhibit greater aversion to risk. Our results suggest that use of the expected utility paradigm in decision making substantially underestimates society's willingness to pay to reduce risk in small probability, high loss events.

Suggested Citation

  • John List & Charles Mason, 2009. "Are CEOs Expected Utility Maximizers?," NBER Working Papers 15453, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:15453
    Note: EEE PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w15453.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Yaari, Menahem E, 1987. "The Dual Theory of Choice under Risk," Econometrica, Econometric Society, vol. 55(1), pages 95-115, January.
    2. List, John A. & Mason, Charles F., 2011. "Are CEOs expected utility maximizers?," Journal of Econometrics, Elsevier, vol. 162(1), pages 114-123, May.
    3. Michael S. Haigh & John A. List, 2005. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Journal of Finance, American Finance Association, vol. 60(1), pages 523-534, February.
    4. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    5. Ernst Fehr & John A. List, 2004. "The Hidden Costs and Returns of Incentives-Trust and Trustworthiness Among CEOs," Journal of the European Economic Association, MIT Press, vol. 2(5), pages 743-771, September.
    6. 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. 5(2), pages 1-47, April.
    7. Harless, David W., 1992. "Predictions about indifference curves inside the unit triangle : A test of variants of expected utility theory," Journal of Economic Behavior & Organization, Elsevier, vol. 18(3), pages 391-414, August.
    8. John D. Hey, 2018. "Experimental investigations of errors in decision making under risk," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 17, pages 381-388, World Scientific Publishing Co. Pte. Ltd..
    9. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    10. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    11. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    12. repec:feb:artefa:0090 is not listed on IDEAS
    13. 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.
    14. John D. Hey & Chris Orme, 2018. "Investigating Generalizations Of Expected Utility Theory Using Experimental Data," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 3, pages 63-98, World Scientific Publishing Co. Pte. Ltd..
    15. Graciela Chichilnisky & Geoffrey Heal, 1993. "Global Environmental Risks," Journal of Economic Perspectives, American Economic Association, vol. 7(4), pages 65-86, Fall.
    16. Chris Starmer, 2000. "Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk," Journal of Economic Literature, American Economic Association, vol. 38(2), pages 332-382, June.
    17. Joseph A. Herriges & Catherine L. Kling (ed.), 1999. "Valuing Recreation and the Environment," Books, Edward Elgar Publishing, number 1315.
    18. Chew, S H & Epstein, Larry G & Segal, U, 1991. "Mixture Symmetry and Quadratic Utility," Econometrica, Econometric Society, vol. 59(1), pages 139-163, January.
    19. Evans, Dorla A, 1997. "The Role of Markets in Reducing Expected Utility Violations," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 622-636, June.
    20. repec:feb:framed:00135 is not listed on IDEAS
    21. Machina, Mark J, 1987. "Choice under Uncertainty: Problems Solved and Unsolved," Journal of Economic Perspectives, American Economic Association, vol. 1(1), pages 121-154, Summer.
    22. Charles Mason & Jason Shogren & Chad Settle & John List, 2005. "Investigating Risky Choices Over Losses Using Experimental Data," Journal of Risk and Uncertainty, Springer, vol. 31(2), pages 187-215, September.
    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. Hallsworth, Michael & List, John A. & Metcalfe, Robert D. & Vlaev, Ivo, 2017. "The behavioralist as tax collector: Using natural field experiments to enhance tax compliance," Journal of Public Economics, Elsevier, vol. 148(C), pages 14-31.
    2. Luca Corazzini & Stefano Galavotti & Rupert Sausgruber & Paola Valbonesi, 2017. "Allotment in first-price auctions: an experimental investigation," Experimental Economics, Springer;Economic Science Association, vol. 20(1), pages 70-99, March.
    3. John A. List, 2014. "Using Field Experiments to Change the Template of How We Teach Economics," The Journal of Economic Education, Taylor & Francis Journals, vol. 45(2), pages 81-89, June.
    4. Lefebvre, Mathieu & Vieider, Ferdinand M., 2014. "Risk taking of executives under different incentive contracts: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 27-36.
    5. List, John A. & Mason, Charles F., 2011. "Are CEOs expected utility maximizers?," Journal of Econometrics, Elsevier, vol. 162(1), pages 114-123, May.
    6. Lata Gangadharan & Tarun Jain & Pushkar Maitra & Joe Vecci, 2022. "Lab-in-the-field experiments: perspectives from research on gender," The Japanese Economic Review, Springer, vol. 73(1), pages 31-59, January.
    7. Hakan J. Holm & Sonja Opper & Victor Nee, 2013. "Entrepreneurs Under Uncertainty: An Economic Experiment in China," Management Science, INFORMS, vol. 59(7), pages 1671-1687, July.
    8. Jeffrey Flory & Uri Gneezy & Kenneth Leonard & John List, 2012. "Sex, competitiveness, and investment in offspring: On the origin of preferences," Artefactual Field Experiments 00072, The Field Experiments Website.
    9. Matthew Gould & Matthew D. Rablen, 2019. "Are World Leaders Loss Averse?," CESifo Working Paper Series 7763, CESifo.
    10. Peter Gordon Roetzel & Burkhard Pedell & Daniel Groninger, 2020. "Information load in escalation situations: combustive agent or counteractive measure?," Journal of Business Economics, Springer, vol. 90(5), pages 757-786, June.
    11. Pushkar Maitra & Ananta Neelim, 2021. "Behavioural characteristics, stability of preferences and entrepreneurial success," Chapters, in: Ananish Chaudhuri (ed.), A Research Agenda for Experimental Economics, chapter 5, pages 93-118, Edward Elgar Publishing.
    12. Dillon Bowen, 2022. "Simple models predict behavior at least as well as behavioral scientists," Papers 2208.01167, arXiv.org.
    13. Steffen Andersen & Amalia Girolamo & Glenn Harrison & Morten Lau, 2014. "Risk and time preferences of entrepreneurs: evidence from a Danish field experiment," Theory and Decision, Springer, vol. 77(3), pages 341-357, October.

    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. Charles Mason & Jason Shogren & Chad Settle & John List, 2005. "Investigating Risky Choices Over Losses Using Experimental Data," Journal of Risk and Uncertainty, Springer, vol. 31(2), pages 187-215, September.
    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. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    4. John D. Hey, 2018. "Why We Should Not Be Silent About Noise," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 13, pages 309-329, World Scientific Publishing Co. Pte. Ltd..
    5. 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.
    6. Peter Brooks & Simon Peters & Horst Zank, 2014. "Risk behavior for gain, loss, and mixed prospects," Theory and Decision, Springer, vol. 77(2), pages 153-182, August.
    7. Hans-Martin Gaudecker & Arthur Soest & Erik Wengström, 2012. "Experts in experiments," Journal of Risk and Uncertainty, Springer, vol. 45(2), pages 159-190, October.
    8. Shaw, W. Douglass & Woodward, Richard T., 2008. "Why environmental and resource economists should care about non-expected utility models," Resource and Energy Economics, Elsevier, vol. 30(1), pages 66-89, January.
    9. Chris Starmer, 2000. "Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk," Journal of Economic Literature, American Economic Association, vol. 38(2), pages 332-382, June.
    10. Omar Al-Ubaydli & John List, 2016. "Field Experiments in Markets," Artefactual Field Experiments j0002, The Field Experiments Website.
    11. Eric Floyd & John A. List, 2016. "Using Field Experiments in Accounting and Finance," Journal of Accounting Research, Wiley Blackwell, vol. 54(2), pages 437-475, May.
    12. F Alpizar & F Carlsson & P Martinsson, 2003. "Using Choice Experiments for Non-Market Valuation," Economic Issues Journal Articles, Economic Issues, vol. 8(1), pages 83-110, March.
    13. Zvi Safra & Uzi Segal, 2005. "Are Universal Preferences Possible? Calibration Results for Non-Expected Utility Theories," Boston College Working Papers in Economics 633, Boston College Department of Economics.
    14. John List, 2007. "Experimenting with Fish has some Advantages," Artefactual Field Experiments 00387, The Field Experiments Website.
    15. Filippos Exadaktylos & Antonio M. Espin & Pablo Branas-Garza, 2012. "Experimental Subjects are Not Different," Working Papers 12-11, Chapman University, Economic Science Institute.
    16. Hallsworth, Michael & List, John A. & Metcalfe, Robert D. & Vlaev, Ivo, 2017. "The behavioralist as tax collector: Using natural field experiments to enhance tax compliance," Journal of Public Economics, Elsevier, vol. 148(C), pages 14-31.
    17. Helga Fehr-Duda & Thomas Epper, 2012. "Probability and Risk: Foundations and Economic Implications of Probability-Dependent Risk Preferences," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 567-593, July.
    18. Egan, Kevin J. & Herriges, Joseph A. & Kling, Catherine L. & Downing, John A., 2004. "Recreation Demand Using Physical Measures Of Water Quality," 2004 Annual meeting, August 1-4, Denver, CO 19958, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Henry Stott, 2006. "Cumulative prospect theory's functional menagerie," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 101-130, March.
    20. 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.

    More about this item

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

    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:nbr:nberwo:15453. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.