IDEAS home Printed from https://ideas.repec.org/p/ubc/pmicro/yoram_halevy-2016-2.html
   My bibliography  Save this paper

Parametric Recovery Methods: A Comparative Experimental Study

Author

Listed:
  • Halevy, Yoram
  • Zrill, Lanny

Abstract

We propose and implement an experimental methodology for comparing the predictive success of various methods for recovering individual preferences from choice data. We apply the proposed approach to a comparison of two parametric recovery methods: Non Linear Least Squares (NLLS) and the Money Metric Index (MMI). The former is based on minimizing the distance between observed and predicted choices while the latter is based on eliminating incompatibility between the ranking information encoded in choices and the ranking induced by the parametric specification. The experiment, in the context of choice under risk, involves a two-part design where choices made by subjects in the first part are used to construct their choice sets in the second part of the experiment in order to separate the predictions of the two recovery methods. We find that the Money Metric Index predicts better than NLLS in all cases and significantly better when the recovered parameters imply non-convex preferences.

Suggested Citation

  • Halevy, Yoram & Zrill, Lanny, 2016. "Parametric Recovery Methods: A Comparative Experimental Study," Microeconomics.ca working papers yoram_halevy-2016-2, Vancouver School of Economics, revised 03 Nov 2016.
    • Handle: RePEc:ubc:pmicro:yoram_halevy-2016-2
    as

    Download full text from publisher

    File URL: http://faculty.arts.ubc.ca/yhalevy/MMI_NLLS.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yoram Halevy & Dotan Persitz & Lanny Zrill, 2018. "Parametric Recoverability of Preferences," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1558-1593.
    2. Segal, Uzi & Spivak, Avia, 1990. "First order versus second order risk aversion," Journal of Economic Theory, Elsevier, vol. 51(1), pages 111-125, June.
    3. Greiner, Ben, 2004. "An Online Recruitment System for Economic Experiments," MPRA Paper 13513, University Library of Munich, Germany.
    4. Syngjoo Choi & Raymond Fisman & Douglas Gale & Shachar Kariv, 2007. "Consistency and Heterogeneity of Individual Behavior under Uncertainty," American Economic Review, American Economic Association, vol. 97(5), pages 1921-1938, December.
    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. Halevy, Yoram & Persitz, Dotan & Zrill, Lanny, 2017. "Non-parametric bounds for non-convex preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 105-112.

    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. Christopher P. Chambers & Georgios Gerasimou, 2023. "Non-diversified portfolios with subjective expected utility," Papers 2304.08059, arXiv.org, revised Jan 2024.
    2. Claudio Campanale & Rui Castro & Gian Luca Clementi, 2010. "Asset Pricing in a Production Economy with Chew-Dekel Preferences," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(2), pages 379-402, April.
    3. Thomas Demuynck & John Rehbeck, 2023. "Computing revealed preference goodness-of-fit measures with integer programming," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(4), pages 1175-1195, November.
    4. Michele Garagnani, 2023. "The predictive power of risk elicitation tasks," Journal of Risk and Uncertainty, Springer, vol. 67(2), pages 165-192, October.
    5. Rud, Olga A. & Rabanal, Jean Paul & Sharifova, Manizha, 2019. "An experiment on the efficiency of bilateral exchange under incomplete markets," Games and Economic Behavior, Elsevier, vol. 114(C), pages 253-267.
    6. Georgios Gerasimou, 2021. "Towards Eliciting Weak or Incomplete Preferences in the Lab: A Model-Rich Approach," Papers 2111.14431, arXiv.org, revised Dec 2023.
    7. Zachary Breig, 2020. "Prediction and Model Selection in Experiments," The Economic Record, The Economic Society of Australia, vol. 96(313), pages 153-176, June.
    8. Federico Echenique, 2020. "New Developments in Revealed Preference Theory: Decisions Under Risk, Uncertainty, and Intertemporal Choice," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 299-316, August.
    9. Heufer, Jan & Hjertstrand, Per, 2019. "Homothetic preferences revealed," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 602-614.
    10. Heufer, Jan, 2014. "Nonparametric comparative revealed risk aversion," Journal of Economic Theory, Elsevier, vol. 153(C), pages 569-616.
    11. Hiroki Nishimura & Efe A. Ok & John K.-H. Quah, 2017. "A Comprehensive Approach to Revealed Preference Theory," American Economic Review, American Economic Association, vol. 107(4), pages 1239-1263, April.
    12. Konstantinos Georgalos, 2016. "Dynamic decision making under ambiguity," Working Papers 112111041, Lancaster University Management School, Economics Department.
    13. Dziewulski, Paweł, 2020. "Just-noticeable difference as a behavioural foundation of the critical cost-efficiency index," Journal of Economic Theory, Elsevier, vol. 188(C).
    14. Marcos Demetry & Per Hjertstrand & Matthew Polisson, 2022. "Testing axioms of revealed preference in Stata," Stata Journal, StataCorp LP, vol. 22(2), pages 319-343, June.
    15. Cappelen, Alexander W. & Kariv, Shachar & Sørensen, Erik Ø. & Tungodden, Bertil, 2023. "The development gap in economic rationality of future elites," Games and Economic Behavior, Elsevier, vol. 142(C), pages 866-878.
    16. Yoram Halevy & Dotan Persitz & Lanny Zrill, 2018. "Parametric Recoverability of Preferences," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1558-1593.
    17. Pawel Dziewulski, 2018. "Just-noticeable difference as a behavioural foundation of the critical cost-efficiency," Economics Series Working Papers 848, University of Oxford, Department of Economics.
    18. Pawel Dziewulski, 2021. "A comprehensive revealed preference approach to approximate utility maximisation," Working Paper Series 0621, Department of Economics, University of Sussex Business School.
    19. Crockett, Sean & Friedman, Daniel & Oprea, Ryan, 2017. "Aggregation and convergence in experimental general equilibrium economies constructed from naturally occurring preferences," Discussion Papers, Research Professorship Market Design: Theory and Pragmatics SP II 2017-501, WZB Berlin Social Science Center.
    20. Brocas, Isabelle & Carrillo, Juan D. & Combs, T. Dalton & Kodaverdian, Niree, 2019. "The development of consistent decision-making across economic domains," Games and Economic Behavior, Elsevier, vol. 116(C), pages 217-240.

    More about this item

    Keywords

    Revealed Preference; Recoverability; Identification; Non-Convex Preferences; Pairwise Choice; First-Order Risk Aversion; Portfolio Choice; Laboratory;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:ubc:pmicro:yoram_halevy-2016-2. 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: Maureen Chin (email available below). General contact details of provider: http://www.economics.ubc.ca/ .

    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.