IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v210y2022ics0165176521004341.html
   My bibliography  Save this article

Rabin’s calibration theorem revisited

Author

Listed:
  • Balter, Anne G.
  • Chau, Ki Wai
  • Schweizer, Nikolaus

Abstract

We simplify and refine the theoretical results behind Rabin’s famous calibration theorem for expected utility preferences and present the resulting tightened versions of his numerical illustrations.

Suggested Citation

  • Balter, Anne G. & Chau, Ki Wai & Schweizer, Nikolaus, 2022. "Rabin’s calibration theorem revisited," Economics Letters, Elsevier, vol. 210(C).
  • Handle: RePEc:eee:ecolet:v:210:y:2022:i:c:s0165176521004341
    DOI: 10.1016/j.econlet.2021.110166
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176521004341
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2021.110166?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zvi Safra & Uzi Segal, 2008. "Calibration Results for Non-Expected Utility Theories," Econometrica, Econometric Society, vol. 76(5), pages 1143-1166, September.
    2. Freeman, David, 2015. "Calibration without reduction for non-expected utility," Journal of Economic Theory, Elsevier, vol. 158(PA), pages 21-32.
    3. Benjamin Armbruster & Erick Delage, 2015. "Decision Making Under Uncertainty When Preference Information Is Incomplete," Management Science, INFORMS, vol. 61(1), pages 111-128, January.
    4. Matthew Rabin, 2000. "Risk Aversion and Expected-Utility Theory: A Calibration Theorem," Econometrica, Econometric Society, vol. 68(5), pages 1281-1292, September.
    5. Zvi Safra & Uzi Segal, 2020. "Calibration Results for Incomplete Preferences," Revue économique, Presses de Sciences-Po, vol. 71(2), pages 323-330.
    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. Han Bleichrodt & Jason N. Doctor & Yu Gao & Chen Li & Daniella Meeker & Peter P. Wakker, 2019. "Resolving Rabin’s paradox," Journal of Risk and Uncertainty, Springer, vol. 59(3), pages 239-260, December.
    2. Sergio Sousa, 2010. "Small-scale changes in wealth and attitudes toward risk," Discussion Papers 2010-11, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    3. Mu Zhang, 2021. "A Theory of Choice Bracketing under Risk," Papers 2102.07286, arXiv.org, revised Aug 2021.
    4. Matthew Rabin & Georg Weizsacker, 2009. "Narrow Bracketing and Dominated Choices," American Economic Review, American Economic Association, vol. 99(4), pages 1508-1543, September.
    5. Zambrano, Eduardo, 2020. "Risk attitudes over small and large stakes recalibrated," Economics Letters, Elsevier, vol. 187(C).
    6. Hwang, In Do, 2021. "Prospect theory and insurance demand: Empirical evidence on the role of loss aversion," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 95(C).
    7. Nicolas de Roos & Yianis Sarafidis, 2010. "Decision making under risk in Deal or No Deal," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 987-1027.
    8. Hwang, In Do, 2024. "Behavioral aspects of household portfolio choice: Effects of loss aversion on life insurance uptake and savings," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1029-1053.
    9. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2020. "Background risk and small-stakes risk aversion," Papers 2010.08033, arXiv.org, revised Mar 2021.
    10. James Cox & Vjollca Sadiraj & Bodo Vogt & Utteeyo Dasgupta, 2013. "Is there a plausible theory for decision under risk? A dual calibration critique," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 54(2), pages 305-333, October.
    11. Steffen Andersen & James C. Cox & Glenn W. Harrison & Morten Lau & Elisabet E. Rutstroem & Vjollca Sadiraj, 2011. "Asset Integration and Attitudes to Risk: Theory and Evidence," Working Papers 2011_10, Durham University Business School.
    12. David Dillenberger, 2008. "Preferences for One-Shot Resolution of Uncertainty and Allais-Type Behavior," PIER Working Paper Archive 08-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    13. Michal Lewandowski, 2014. "Buying and selling price for risky lotteries and expected utility theory with gambling wealth," Journal of Risk and Uncertainty, Springer, vol. 48(3), pages 253-283, June.
    14. Sergio Sousa, 2010. "Small-scale changes in wealth and attitudes toward risk," Discussion Papers 2010-11, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    15. Haug, Jørgen & Hens, Thorsten & Woehrmann, Peter, 2013. "Risk aversion in the large and in the small," Economics Letters, Elsevier, vol. 118(2), pages 310-313.
    16. Freeman, David, 2015. "Calibration without reduction for non-expected utility," Journal of Economic Theory, Elsevier, vol. 158(PA), pages 21-32.
    17. Harrison, Glenn W. & Lau, Morten I. & Ross, Don & Swarthout, J. Todd, 2017. "Small stakes risk aversion in the laboratory: A reconsideration," Economics Letters, Elsevier, vol. 160(C), pages 24-28.
    18. Dillenberger, David, 2008. "Preferences for One-Shot Resolution of Uncertainty and Allais-Type Behavior," MPRA Paper 8342, University Library of Munich, Germany.
    19. Freeman, David, 2017. "Risk taking with background risk under recursive rank-dependent utility," Mathematical Social Sciences, Elsevier, vol. 87(C), pages 72-74.
    20. Olivier L'Haridon & Craig S. Webb & Horst Zank, 2021. "An Effective and Simple Tool for Measuring Loss Aversion," Economics Discussion Paper Series 2107, Economics, The University of Manchester.

    More about this item

    Keywords

    Expected utility; Utility measurement;

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    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:ecolet:v:210:y:2022:i:c:s0165176521004341. 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: http://www.elsevier.com/locate/ecolet .

    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.