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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    James Fox

    Research Leader; Quality Assurance Manager, RAND Europe
    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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    David Knapp

    Economist; Affiliate Faculty, Pardee RAND Graduate School
    Education Ph.D. in economics, University of Michigan; M.A. in economics, University of Michigan; B.S. in economics, The Ohio State University; B.A. in political science, The Ohio State University

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    Evangelos Gkousis

    Research Assistant
    Education M.Sc. in health economics, University of Leeds; B.Sc. (Hons) in economics, University of York

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    Bhanu Patruni

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

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    Charlene Rohr

    Senior Research Leader
    Education M.Sc. in transportation engineering, University of Alberta; B.Sc. in civil engineering, University of Alberta

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    Hui Lu

    Senior Analyst
    Education Ph.D. in transport economics and behaviour modelling, Institute for Transport Studies, University of Leeds; M.A. in industrial economics, Beijing JiaoTong University, China

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