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Correlated choice

Author

Listed:
  • Chambers, Christopher P.

    (Department of Economics, Georgetown University)

  • Masatlioglu, Yusufcan

    (Department of Economics, University of Maryland)

  • Turansick, Christopher

    (Georgetown University)

Abstract

We study random joint choice rules, allowing for interdependence of choice across agents. These capture random choice by multiple agents, or a single agent across goods or time periods. %Of interest are random joint choice rules which have well defined marginal random choice rules.% as this is necessary for choices to be separable over each dimension. Our interest is in separable choice rules, where each agent can be thought of as acting independently of the other. A random joint choice rule satisfies marginality if for every individual choice set, we can determine the individual's choice probabilities over alternatives independently of the other individual's choice set. We offer two characterizations of random joint choice rules satisfying marginality in terms of separable choice rules. While marginality is a necessary condition for separability, we show that it fails to be sufficient. We provide an additional condition on the marginal choice rules which, along with marginality, is sufficient for separability. (JEL: D01, D91)

Suggested Citation

  • Chambers, Christopher P. & Masatlioglu, Yusufcan & Turansick, Christopher, 2024. "Correlated choice," Theoretical Economics, Econometric Society, vol. 19(3), July.
    • Handle: RePEc:the:publsh:5184
    as

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    File URL: http://econtheory.org/ojs/index.php/te/article/viewFile/20241087/39753/1219
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    Other versions of this item:

    • Christopher P. Chambers & Yusufcan Masatlioglu & Christopher Turansick, 2021. "Correlated Choice," Papers 2103.05084, arXiv.org, revised Mar 2023.

    References listed on IDEAS

    as
    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Lawrence E. Blume & William A. Brock & Steven N. Durlauf & Rajshri Jayaraman, 2015. "Linear Social Interactions Models," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 444-496.
    3. Alexandre Mas & Enrico Moretti, 2009. "Peers at Work," American Economic Review, American Economic Association, vol. 99(1), pages 112-145, March.
    4. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    5. Paola Manzini & Marco Mariotti, 2014. "Stochastic Choice and Consideration Sets," Econometrica, Econometric Society, vol. 82(3), pages 1153-1176, May.
    6. Antoni Calvó-Armengol & Eleonora Patacchini & Yves Zenou, 2009. "Peer Effects and Social Networks in Education," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1239-1267.
    7. Abhinash Borah & Christopher Kops, 2018. "Choice via Social Influence," Working Papers 06, Ashoka University, Department of Economics.
    8. Roy Allen & Paweł Dziewulski & John Rehbeck, 2024. "Revealed statistical consumer theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 77(3), pages 823-847, May.
    9. Abhinash Borah & Christopher Kops, 2018. "Choice via Social Influence," Working Papers 1010, Ashoka University, Department of Economics.
    10. Michael Kremer & Dan Levy, 2008. "Peer Effects and Alcohol Use among College Students," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 189-206, Summer.
    11. Jetlir Duraj, 2018. "Dynamic Random Subjective Expected Utility," Papers 1808.00296, arXiv.org.
    12. Lu, Jay & Saito, Kota, 2018. "Random intertemporal choice," Journal of Economic Theory, Elsevier, vol. 177(C), pages 780-815.
    13. Drew Fudenberg & Tomasz Strzalecki, 2015. "Dynamic Logit With Choice Aversion," Econometrica, Econometric Society, vol. 83, pages 651-691, March.
    14. Giorgio Topa, 2001. "Social Interactions, Local Spillovers and Unemployment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 261-295.
    15. Ricky Li, 2021. "Dynamic Random Choice," Papers 2102.00143, arXiv.org, revised Jun 2022.
    16. Cuhadaroglu, Tugce, 2017. "Choosing on influence," Theoretical Economics, Econometric Society, vol. 12(2), May.
    17. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    18. Turansick, Christopher, 2022. "Identification in the random utility model," Journal of Economic Theory, Elsevier, vol. 203(C).
    19. Miller, Paul W & Mulvey, Charles & Martin, Nick, 1995. "What Do Twins Studies Reveal about the Economic Returns to Education? A Comparison of Australian and U.S. Findings," American Economic Review, American Economic Association, vol. 85(3), pages 586-599, June.
    20. Pennesi, Daniele, 2021. "Intertemporal discrete choice," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 690-706.
    21. 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.
    22. Tugce Cuhadaroglu, 2015. "Choosing on Influence," Discussion Paper Series, School of Economics and Finance 201504, School of Economics and Finance, University of St Andrews.
    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. Daniel McFadden, 2005. "Revealed stochastic preference: a synthesis," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 26(2), pages 245-264, August.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Random utility; Correlation; Stochastic choice; Dynamic choice;
    All these keywords.

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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