Hybrid Choice Models: Progress and Challenges

Ben-Akiva, Moshe (), Daniel L. McFadden, Kenneth Train () and Börsch-Supan, Axel ()
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Ben-Akiva, Moshe: Massachusetts Institute of Technology
Börsch-Supan, Axel: Sonderforschungsbereich 504, Postal: L 13, 15, D-68131 Mannheim

No 02-29, Sonderforschungsbereich 504 Publications from Sonderforschungsbereich 504, Universität Mannheim

Abstract: We discuss the development of predictive choice models that go beyond the random utility model in its narrowest formulation. Such approaches incorporate several elements of cognitive process that have been identified as important to the choice process, including strong dependence on history and context, perception formation, and latent constraints. A flexible and practical hybrid choice model is presented that integrates many types of discrete choice modeling methods, draws on different types of data, and allows for flexible disturbances and explicit modeling of latent psychological variables, heterogeneity, and latent segmentation. Both progress and challanges related to the development of the hybrid choice model are presented.

Date: 2002-03-22
Note: Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, is gratefully acknowledged.
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Working Paper: Hybrid Choice Models: Progress and Challenges (2002)
Working Paper: Hybrid Choice Models: Progress and Challenges (2002)
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