IDEAS home Printed from https://ideas.repec.org/a/eee/mateco/v79y2018icp75-82.html
   My bibliography  Save this article

Fechner’s strong utility model for choice among n>2 alternatives: Risky lotteries, Savage acts, and intertemporal payoffs

Author

Listed:
  • Blavatskyy, Pavlo

Abstract

This paper generalizes a classic Fechner model (also known as strong utility) of probabilistic/stochastic binary choice to choice among several alternatives. Special cases of the model include Luce’s choice model, multivariate probit and deterministic preferences. The proposed model can be interpreted as an econometric model of discrete choice with correlated random errors additive on the (latent) utility scale. Behavioral characterization/axiomatization of the model is provided for choice under risk (with expected utility), uncertainty/ambiguity (with subjective expected utility) and intertemporal choice (with additively separable utility that includes constant discounting, quasi-hyperbolic discounting, generalized hyperbolic discounting and liminal discounting as special cases).

Suggested Citation

  • Blavatskyy, Pavlo, 2018. "Fechner’s strong utility model for choice among n>2 alternatives: Risky lotteries, Savage acts, and intertemporal payoffs," Journal of Mathematical Economics, Elsevier, vol. 79(C), pages 75-82.
  • Handle: RePEc:eee:mateco:v:79:y:2018:i:c:p:75-82
    DOI: 10.1016/j.jmateco.2018.08.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304406818300910
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jmateco.2018.08.005?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. David Buschena & David Zilberman, 2008. "Generalized expected utility, heteroscedastic error, and path dependence in risky choice," Journal of Risk and Uncertainty, Springer, vol. 36(2), pages 201-201, April.
    2. Pavlo Blavatskyy, 2013. "A Simple Behavioral Characterization of Subjective Expected Utility," Operations Research, INFORMS, vol. 61(4), pages 932-940, August.
    3. Tabea Herrmann & Olaf Hübler & Lukas Menkhoff & Ulrich Schmidt, 2017. "Allais for the poor: Relations to ability, information processing, and risk attitudes," Journal of Risk and Uncertainty, Springer, vol. 54(2), pages 129-156, April.
    4. Blavatskyy, Pavlo R., 2006. "Violations of betweenness or random errors?," Economics Letters, Elsevier, vol. 91(1), pages 34-38, April.
    5. Blavatskyy, Pavlo R., 2009. "How to extend a model of probabilistic choice from binary choices to choices among more than two alternatives," Economics Letters, Elsevier, vol. 105(3), pages 330-332, December.
    6. John D. Hey & Gianna Lotito & Anna Maffioletti, 2018. "The descriptive and predictive adequacy of theories of decision making under uncertainty/ambiguity," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 8, pages 189-219, World Scientific Publishing Co. Pte. Ltd..
    7. Pavlo R. Blavatskyy, 2010. "Reverse Common Ratio Effect," IEW - Working Papers 478, Institute for Empirical Research in Economics - University of Zurich.
    8. E. S. Phelps & R. A. Pollak, 1968. "On Second-Best National Saving and Game-Equilibrium Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 35(2), pages 185-199.
    9. 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..
    10. John D. Hey, 2018. "Does Repetition Improve Consistency?," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 2, pages 13-62, World Scientific Publishing Co. Pte. Ltd..
    11. Hey, John D. & Carbone, Enrica, 1995. "Stochastic choice with deterministic preferences: An experimental investigation," Economics Letters, Elsevier, vol. 47(2), pages 161-167, February.
    12. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    13. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    14. Pavlo R. Blavatskyy & Hela Maafi, 2018. "Estimating representations of time preferences and models of probabilistic intertemporal choice on experimental data," Journal of Risk and Uncertainty, Springer, vol. 56(3), pages 259-287, June.
    15. Graham Loomes, 2005. "Modelling the Stochastic Component of Behaviour in Experiments: Some Issues for the Interpretation of Data," Experimental Economics, Springer;Economic Science Association, vol. 8(4), pages 301-323, December.
    16. George Loewenstein & Drazen Prelec, 1992. "Anomalies in Intertemporal Choice: Evidence and an Interpretation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 573-597.
    17. Olivier Toubia & Eric Johnson & Theodoros Evgeniou & Philippe Delquié, 2013. "Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters," Management Science, INFORMS, vol. 59(3), pages 613-640, June.
    18. Blavatskyy, Pavlo, 2015. "Intertemporal choice with different short-term and long-term discount factors," Journal of Mathematical Economics, Elsevier, vol. 61(C), pages 139-143.
    19. Dagsvik, John K., 2008. "Axiomatization of stochastic models for choice under uncertainty," Mathematical Social Sciences, Elsevier, vol. 55(3), pages 341-370, May.
    20. Paolo Ghirardato & Fabio Maccheroni & Massimo Marinacci & Marciano Siniscalchi, 2003. "A Subjective Spin on Roulette Wheels," Econometrica, Econometric Society, vol. 71(6), pages 1897-1908, November.
    21. Marina Agranov & Pietro Ortoleva, 2017. "Stochastic Choice and Preferences for Randomization," Journal of Political Economy, University of Chicago Press, vol. 125(1), pages 40-68.
    22. Pan, Jinrui & Webb, Craig S. & Zank, Horst, 2015. "An extension of quasi-hyperbolic discounting to continuous time," Games and Economic Behavior, Elsevier, vol. 89(C), pages 43-55.
    23. Machina, Mark J, 1985. "Stochastic Choice Functions Generated from Deterministic Preferences over Lotteries," Economic Journal, Royal Economic Society, vol. 95(379), pages 575-594, September.
    24. Matthew Ryan, 2018. "Uncertainty and binary stochastic choice," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(3), pages 629-662, May.
    25. Wilcox, Nathaniel T., 2011. "'Stochastically more risk averse:' A contextual theory of stochastic discrete choice under risk," Journal of Econometrics, Elsevier, vol. 162(1), pages 89-104, May.
    26. Dagsvik, John K., 2015. "Stochastic models for risky choices: A comparison of different axiomatizations," Journal of Mathematical Economics, Elsevier, vol. 60(C), pages 81-88.
    27. Christopher Chabris & David Laibson & Carrie Morris & Jonathon Schuldt & Dmitry Taubinsky, 2008. "Individual laboratory-measured discount rates predict field behavior," Journal of Risk and Uncertainty, Springer, vol. 37(2), pages 237-269, December.
    28. 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..
    29. Steffen Huck & Wieland Müller, 2012. "Allais for all: Revisiting the paradox in a large representative sample," Journal of Risk and Uncertainty, Springer, vol. 44(3), pages 261-293, June.
    30. Starmer, Chris & Sugden, Robert, 1989. "Probability and Juxtaposition Effects: An Experimental Investigation of the Common Ratio Effect," Journal of Risk and Uncertainty, Springer, vol. 2(2), pages 159-178, June.
    31. Conlisk, John, 1989. "Three Variants on the Allais Example," American Economic Review, American Economic Association, vol. 79(3), pages 392-407, June.
    32. Pavlo Blavatskyy, 2010. "Reverse common ratio effect," Journal of Risk and Uncertainty, Springer, vol. 40(3), pages 219-241, June.
    33. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    34. Fan, Chinn-Ping, 2002. "Allais paradox in the small," Journal of Economic Behavior & Organization, Elsevier, vol. 49(3), pages 411-421, November.
    35. Chris Starmer, 1992. "Testing New Theories of Choice under Uncertainty using the Common Consequence Effect," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(4), pages 813-830.
    36. Chew, S H & Epstein, Larry G & Segal, U, 1991. "Mixture Symmetry and Quadratic Utility," Econometrica, Econometric Society, vol. 59(1), pages 139-163, January.
    37. Blavatskyy, Pavlo R., 2017. "Probabilistic intertemporal choice," Journal of Mathematical Economics, Elsevier, vol. 73(C), pages 142-148.
    38. Burke, Michael S & Carter, John R. & Gominiak, Robert D. & Ohl, Daniel F, 1996. "An Experimental Note on the Allais Paradox and Monetary Incentives," Empirical Economics, Springer, vol. 21(4), pages 617-632.
    39. Blavatskyy, Pavlo R., 2008. "Stochastic utility theorem," Journal of Mathematical Economics, Elsevier, vol. 44(11), pages 1049-1056, December.
    40. Gijs Kuilen & Peter Wakker, 2006. "Learning in the Allais paradox," Journal of Risk and Uncertainty, Springer, vol. 33(3), pages 155-164, December.
    41. Pavlo R. Blavatskyy, 2009. "How to Extend a Model of Probabilistic Choice from Binary Choices to Choices among More Than Two Alternatives," IEW - Working Papers 426, Institute for Empirical Research in Economics - University of Zurich.
    42. Pavlo R. Blavatskyy, 2016. "A monotone model of intertemporal choice," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 62(4), pages 785-812, October.
    43. Veronika Köbberling & Peter P. Wakker, 2003. "Preference Foundations for Nonexpected Utility: A Generalized and Simplified Technique," Mathematics of Operations Research, INFORMS, vol. 28(3), pages 395-423, August.
    44. Blavatskyy, Pavlo R., 2013. "The reverse Allais paradox," Economics Letters, Elsevier, vol. 119(1), pages 60-64.
    45. Humphrey, Steven J. & Verschoor, Arjan, 2004. "The probability weighting function: experimental evidence from Uganda, India and Ethiopia," Economics Letters, Elsevier, vol. 84(3), pages 419-425, September.
    46. Camerer, Colin F, 1989. "An Experimental Test of Several Generalized Utility Theories," Journal of Risk and Uncertainty, Springer, vol. 2(1), pages 61-104, April.
    47. Takanori Ida & Rei Goto, 2009. "Simultaneous Measurement Of Time And Risk Preferences: Stated Preference Discrete Choice Modeling Analysis Depending On Smoking Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(4), pages 1169-1182, November.
    48. Paul A. Samuelson, 1937. "A Note on Measurement of Utility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 4(2), pages 155-161.
    49. Blavatskyy, Pavlo R., 2012. "Probabilistic subjective expected utility," Journal of Mathematical Economics, Elsevier, vol. 48(1), pages 47-50.
    50. Ballinger, T Parker & Wilcox, Nathaniel T, 1997. "Decisions, Error and Heterogeneity," Economic Journal, Royal Economic Society, vol. 107(443), pages 1090-1105, July.
    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. Matthew Ryan, 2021. "Stochastic expected utility for binary choice: a ‘modular’ axiomatic foundation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(2), pages 641-669, September.
    2. Pennesi, Daniele, 2021. "Intertemporal discrete choice," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 690-706.
    3. Pavlo R. Blavatskyy, 2024. "Harmonic choice model," Theory and Decision, Springer, vol. 96(1), pages 49-69, February.
    4. Pavlo R. Blavatskyy, 2020. "Dual choice axiom and probabilistic choice," Journal of Risk and Uncertainty, Springer, vol. 61(1), pages 25-41, 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. Blavatskyy, Pavlo, 2019. "Future plans and errors," Mathematical Social Sciences, Elsevier, vol. 102(C), pages 85-92.
    2. Pavlo R. Blavatskyy, 2020. "Dual choice axiom and probabilistic choice," Journal of Risk and Uncertainty, Springer, vol. 61(1), pages 25-41, August.
    3. Pavlo Blavatskyy, 2012. "Probabilistic choice and stochastic dominance," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 50(1), pages 59-83, May.
    4. Pavlo R. Blavatskyy & Hela Maafi, 2018. "Estimating representations of time preferences and models of probabilistic intertemporal choice on experimental data," Journal of Risk and Uncertainty, Springer, vol. 56(3), pages 259-287, June.
    5. Pavlo Blavatskyy, 2018. "A second-generation disappointment aversion theory of decision making under risk," Theory and Decision, Springer, vol. 84(1), pages 29-60, January.
    6. Blavatskyy, Pavlo R., 2017. "Probabilistic intertemporal choice," Journal of Mathematical Economics, Elsevier, vol. 73(C), pages 142-148.
    7. Blavatskyy, Pavlo R., 2008. "Stochastic utility theorem," Journal of Mathematical Economics, Elsevier, vol. 44(11), pages 1049-1056, December.
    8. Pavlo Blavatskyy, 2007. "Stochastic expected utility theory," Journal of Risk and Uncertainty, Springer, vol. 34(3), pages 259-286, June.
    9. Wilcox, Nathaniel T., 2011. "'Stochastically more risk averse:' A contextual theory of stochastic discrete choice under risk," Journal of Econometrics, Elsevier, vol. 162(1), pages 89-104, May.
    10. Pavlo Blavatskyy, 2021. "Probabilistic independence axiom," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 46(1), pages 21-34, March.
    11. Pavlo Blavatskyy & Valentyn Panchenko & Andreas Ortmann, 2023. "How common is the common-ratio effect?," Experimental Economics, Springer;Economic Science Association, vol. 26(2), pages 253-272, April.
    12. Pavlo Blavatskyy, 2014. "Stronger utility," Theory and Decision, Springer, vol. 76(2), pages 265-286, February.
    13. 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..
    14. Blavatskyy, Pavlo, 2016. "Probability weighting and L-moments," European Journal of Operational Research, Elsevier, vol. 255(1), pages 103-109.
    15. Michael H. Birnbaum & Ulrich Schmidt & Miriam D. Schneider, 2017. "Testing independence conditions in the presence of errors and splitting effects," Journal of Risk and Uncertainty, Springer, vol. 54(1), pages 61-85, February.
    16. Pavlo Blavatskyy, 2018. "Temporal dominance and relative patience in intertemporal choice," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(2), pages 361-384, March.
    17. Nathaniel T. Wilcox, 2015. "Error and Generalization in Discrete Choice Under Risk," Working Papers 15-11, Chapman University, Economic Science Institute.
    18. Chew, Soo Hong & Miao, Bin & Shen, Qiang & Zhong, Songfa, 2022. "Multiple-switching behavior in choice-list elicitation of risk preference," Journal of Economic Theory, Elsevier, vol. 204(C).
    19. Marina Agranov & Pietro Ortoleva, 2017. "Stochastic Choice and Preferences for Randomization," Journal of Political Economy, University of Chicago Press, vol. 125(1), pages 40-68.
    20. Pavlo Blavatskyy, 2020. "Expected discounted utility," Theory and Decision, Springer, vol. 88(2), pages 297-313, March.

    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:mateco:v:79:y:2018:i:c:p:75-82. 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/jmateco .

    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.