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Random utility models and their applications: recent developments

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  • Marley, A. A. J.

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  • Marley, A. A. J., 2002. "Random utility models and their applications: recent developments," Mathematical Social Sciences, Elsevier, vol. 43(3), pages 289-302, July.
    • Handle: RePEc:eee:matsoc:v:43:y:2002:i:3:p:289-302
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    1. McFadden, Daniel L., 1984. "Econometric analysis of qualitative response models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 24, pages 1395-1457, Elsevier.
    2. Candeal, Juan Carlos & Indurain, Esteban & Zudaire, Margarita, 2002. "Numerical representability of semiorders," Mathematical Social Sciences, Elsevier, vol. 43(1), pages 61-77, January.
    3. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    4. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    5. Daniel L. McFadden, 1976. "Quantal Choice Analysis: A Survey," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 363-390, National Bureau of Economic Research, Inc.
    6. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    7. Hey, John D. & Carbone, Enrica, 1995. "Stochastic choice with deterministic preferences: An experimental investigation," Economics Letters, Elsevier, vol. 47(2), pages 161-167, February.
    8. Dagsvik, John K, 1994. "Discrete and Continuous Choice, Max-Stable Processes, and Independence from Irrelevant Attributes," Econometrica, Econometric Society, vol. 62(5), pages 1179-1205, September.
    9. Suck, Reinhard, 1992. "Geometric and combinatorial properties of the polytope of binary choice probabilities," Mathematical Social Sciences, Elsevier, vol. 23(1), pages 81-102, February.
    10. Aczel, Janos & Gilanyi, Attila & Maksa, Gyula & Marley, Anthony A. J., 2000. "Consistent aggregation of simply scalable families of choice probabilities," Mathematical Social Sciences, Elsevier, vol. 39(3), pages 241-262, May.
    11. Enrica Carbone & John D. Hey, 2018. "Which Error Story is Best?," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 16, pages 365-380, World Scientific Publishing Co. Pte. Ltd..
    12. Oloriz, Esteban & Candeal, Juan Carlos & Indurain, Esteban, 1998. "Representability of Interval Orders," Journal of Economic Theory, Elsevier, vol. 78(1), pages 219-227, January.
    13. Peter C. Fishburn & Aleksandar Pekeč & James A. Reeds, 2002. "Subset Comparisons for Additive Linear Orders," Mathematics of Operations Research, INFORMS, vol. 27(1), pages 227-243, February.
    14. Aleskerov, Fuad, 2002. "Binary representation of choice rationalizable by a utility function with an additive non-negative error function," Mathematical Social Sciences, Elsevier, vol. 43(2), pages 177-185, March.
    15. Heyer, Dieter & Niederee, Reinhard, 1992. "Generalizing the concept of binary choice systems induced by rankings: one way of probabilizing deterministic measurement structures," Mathematical Social Sciences, Elsevier, vol. 23(1), pages 31-44, February.
    16. Fishburn, Peter C., 1992. "Induced binary probabilities and the linear ordering polytope: a status report," Mathematical Social Sciences, Elsevier, vol. 23(1), pages 67-80, February.
    17. R. Luce, 1977. "Thurstone's discriminal processes fifty years later," Psychometrika, Springer;The Psychometric Society, vol. 42(4), pages 461-489, December.
    18. John A. Weymark & Kai-yuen Tsui, 1997. "Social welfare orderings for ratio-scale measurable utilities," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 10(2), pages 241-256.
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    3. Roohnavazfar, Mina & Manerba, Daniele & De Martin, Juan Carlos & Tadei, Roberto, 2019. "Optimal paths in multi-stage stochastic decision networks," Operations Research Perspectives, Elsevier, vol. 6(C).

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