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Random Orderings and Stochastic Theories of Response

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  • H.D. Block
  • Jacob Marschak

Abstract

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Suggested Citation

  • H.D. Block & Jacob Marschak, 1959. "Random Orderings and Stochastic Theories of Response," Cowles Foundation Discussion Papers 66, Cowles Foundation for Research in Economics, Yale University.
    • Handle: RePEc:cwl:cwldpp:66
    Note: CFP 147.
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    File URL: https://cowles.yale.edu/sites/default/files/files/pub/d00/d0066.pdf
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    Cited by:

    1. Felderhof, B.U., 1997. "Thermocapillary effects in a suspension of droplets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 235(1), pages 48-55.
    2. Mihir Bhattacharya & Saptarshi Mukherjee & Ruhi Sonal, 2019. "Attention and Framing," Working Papers 1027, Ashoka University, Department of Economics.
    3. Sam Cosaert & Thomas Demuynck, 2018. "Nonparametric Welfare and Demand Analysis with Unobserved Individual Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 100(2), pages 349-361, May.
    4. Nax, Heinrich Harald & Newton, Jonathan, 2022. "Deep and shallow thinking in the long run," Theoretical Economics, Econometric Society, vol. 17(4), November.
    5. Nobuo Koida & Koji Shirai, 2024. "A dual approach to nonparametric characterization for random utility models," Papers 2403.04328, arXiv.org, revised Jun 2024.
    6. Sanjay Dominik Jena & Andrea Lodi & Claudio Sole, 2021. "On the estimation of discrete choice models to capture irrational customer behaviors," Papers 2109.03882, arXiv.org.
    7. David Muller & Emerson Melo & Ruben Schlotter, 2023. "A Distributionally Robust Random Utility Model," Papers 2303.05888, arXiv.org.
    8. Arjun Seshadri & Johan Ugander, 2020. "Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice," Papers 2001.07042, arXiv.org.
    9. Turansick, Christopher, 2022. "Identification in the random utility model," Journal of Economic Theory, Elsevier, vol. 203(C).
    10. Yi-Chun Chen & Velibor V. Mišić, 2022. "Decision Forest: A Nonparametric Approach to Modeling Irrational Choice," Management Science, INFORMS, vol. 68(10), pages 7090-7111, October.
    11. Emerson Melo, 2021. "Learning in Random Utility Models Via Online Decision Problems," Papers 2112.10993, arXiv.org, revised Aug 2022.
    12. Ningyuan Chen & Guillermo Gallego & Zhuodong Tang, 2019. "The Use of Binary Choice Forests to Model and Estimate Discrete Choices," Papers 1908.01109, arXiv.org, revised Apr 2024.
    13. John N. Ng’ombe & B. Wade Brorsen, 2022. "The Effect of Including Irrelevant Alternatives in Discrete Choice Models of Recreation Demand," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 71-97, June.
    14. Hwang, Sung-Ha & Lim, Wooyoung & Neary, Philip & Newton, Jonathan, 2018. "Conventional contracts, intentional behavior and logit choice: Equality without symmetry," Games and Economic Behavior, Elsevier, vol. 110(C), pages 273-294.
    15. Yang, Erya & Kopylov, Igor, 2023. "Random quasi-linear utility," Journal of Economic Theory, Elsevier, vol. 209(C).
    16. Sanjay Dominik Jena & Andrea Lodi & Claudio Sole, 2022. "On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1606-1625, May.
    17. Mihir Bhattacharya & Saptarshi Mukherjee & Ruhi Sonal, 2019. "Attention and Framing," Working Papers 18, Ashoka University, Department of Economics.
    18. Fedor Sandomirskiy & Omer Tamuz, 2023. "Decomposable Stochastic Choice," Papers 2312.04827, arXiv.org, revised May 2024.
    19. Chambers, Christopher P. & Masatlioglu, Yusufcan & Turansick, Christopher, 2024. "Correlated choice," Theoretical Economics, Econometric Society, vol. 19(3), July.
      • Christopher P. Chambers & Yusufcan Masatlioglu & Christopher Turansick, 2021. "Correlated Choice," Papers 2103.05084, arXiv.org, revised Mar 2023.
    20. Christopher Turansick, 2023. "Random Utility, Repeated Choice, and Consumption Dependence," Papers 2302.05806, arXiv.org, revised Oct 2023.
    21. Emerson Melo, 2021. "Learning In Random Utility Models Via Online Decision Problems," CAEPR Working Papers 2022-003 Classification-D, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    22. Le Pira, Michela & Marcucci, Edoardo & Gatta, Valerio, 2021. "Roman holiday: Tourist heterogeneous preferences for walking path elements," Research in Transportation Economics, Elsevier, vol. 90(C).
    23. Bhattacharya, Mihir & Mukherjee, Saptarshi & Sonal, Ruhi, 2021. "Frame-based stochastic choice rule," Journal of Mathematical Economics, Elsevier, vol. 97(C).
    24. Vasilyev, Andrey & Maier, Sebastian & Seifert, Ralf W., 2023. "Assortment optimization using an attraction model in an omnichannel environment," European Journal of Operational Research, Elsevier, vol. 306(1), pages 207-226.

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