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Stochastic models for binary discrete choice under risk: a critical primer and econometric comparison

In: Risk Aversion in Experiments

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  • Nathaniel T. Wilcox

Abstract

Choice under risk has a large stochastic (unpredictable) component. This chapter examines five stochastic models for binary discrete choice under risk and how they combine with “structural” theories of choice under risk. Stochastic models are substantive theoretical hypotheses that are frequently testable in and of themselves, and also identifying restrictions for hypothesis tests, estimation and prediction. Econometric comparisons suggest that for the purpose of prediction (as opposed to explanation), choices of stochastic models may be far more consequential than choices of structures such as expected utility or rank-dependent utility.

Suggested Citation

  • Nathaniel T. Wilcox, 2008. "Stochastic models for binary discrete choice under risk: a critical primer and econometric comparison," Research in Experimental Economics, in: Risk Aversion in Experiments, pages 197-292, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:rexezz:s0193-2306(08)00004-5
    DOI: 10.1016/S0193-2306(08)00004-5
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    Citations

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    Cited by:

    1. Nathaniel T. Wilcox, 2024. "Conditional independence in a binary choice experiment," Journal of Risk and Uncertainty, Springer, vol. 68(3), pages 205-225, June.
    2. Holden, Stein T. & Tilahun, Mesfin, 2023. "Numeracy Skills, Decision Errors, and Risk Preference Estimation," CLTS Working Papers 5/23, Norwegian University of Life Sciences, Centre for Land Tenure Studies.
    3. Levon Barseghyan & Francesca Molinari, 2023. "Risk Preference Types, Limited Consideration, and Welfare," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1011-1029, October.
    4. Bernheim, B. Douglas & Sprenger, Charles, 2023. "On the empirical validity of cumulative prospect theory: A response to the Wakker commentaries," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    5. Villacis, Alexis H., 2023. "Inconsistent choices over prospect theory lottery games: Evidence from field experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    6. Yves Breitmoser & Lian Xue & Jiwei Zheng & Daniel John Zizzo, 2023. "Organizational Design and Error Propagation: Theory and Experiment," Discussion Papers Series 666, School of Economics, University of Queensland, Australia.
    7. Schrieks, Teun & Botzen, W.J. Wouter & Haer, Toon & Aerts, Jeroen C.J.H., 2024. "Drought risk attitudes in pastoral and agro-pastoral communities in Kenya," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 108(C).
    8. Stein T. Holden & Mesfin Tilahun, 2024. "Can Climate Shocks Make Vulnerable Subjects More Willing to Take Risks?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(4), pages 967-1007, April.
    9. Pavlo R. Blavatskyy, 2024. "Harmonic choice model," Theory and Decision, Springer, vol. 96(1), pages 49-69, February.
    10. Holden, Stein T. & Tilahun, Mesfin, 2022. "Are risk preferences explaining gender differences in investment behavior?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 101(C).

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