Discrete Choice Modeling

Discrete choice models allow researchers to analyze and predict how people's choices are influenced by their personal characteristics and by the alternatives available to them. RAND has used this methodology in such areas as transport modeling, examining consumer responsiveness to advertising, and understanding preferences for government services and health care.

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    Avery Calkins

    Associate Economist
    Education Ph.D. in economics, University of Michigan; M.A. in economics, University of Michigan; B.S. in economics, Carnegie Mellon University

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    Fay Dunkerley

    Senior Analyst
    Education Ph.D. in transport economics, KU Leuven, Belgium; Ph.D. in wind flow over complex terrain, UMIST, UK; M.Sc. in economics, KU Leuven, Belgium; Certificate of Advanced Study in mathematics, University of Cambridge; B.A. in mathematics, University of Cambridge

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    James Fox

    Research Leader; Associate Research Group Director
    Education Ph.D. in transport demand modelling, Institute of Transport Studies, University of Leeds; M.Sc. in transport, University of London; M.Eng. in civil engineering, Imperial College, University of London

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    Bhanu Patruni

    Senior Analyst
    Education M.Tech. in transportation systems engineering, Indian Institute of Technology, Bombay

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