Discrete Choice Models

Discrete Choice Models is a class of statistical models used in econometrics that analyze individual decision-making behavior by specifying the probability of selecting among a finite set of mutually exclusive alternatives, distinguished by their reliance on observed and unobserved heterogeneity in preferences and choice attributes.

11.6K

Publications

825.6K

Citations

18.1K

Authors

4.3K

Institutions

Publications per year

2017–2026

3.1K

Authors

18.1K

  1. JJ
    Jordan J. Louviere

    University of Technology Sydney, Australia

    90 publications · 18.8K citations

    60

    h-index

  2. DA
    David A. Hensher

    The University of Sydney, Australia

    133 publications · 13.8K citations

    55

    h-index

  3. CR
    Chandra R. Bhat

    The University of Texas at Austin, United States

    85 publications · 10.6K citations

    48

    h-index

  4. RS
    Riccardo Scarpa

    University of Waikato, New Zealand

    64 publications · 8.6K citations

    40

    h-index

  5. MB
    Moshe Ben‐Akiva

    Massachusetts Institute of Technology, United States

    73 publications · 12.6K citations

    40

    h-index

1–5 of 18.1K

Venues

  1. Journal of Marketing Research

    256 publications · 29.1K citations

    82

    h-index

  2. Marketing Science

    157 publications · 21.3K citations

    77

    h-index

  3. Transportation Research Part B Methodological

    179 publications · 22K citations

    75

    h-index

  4. 74

    h-index

  5. American Journal of Agricultural Economics

    148 publications · 21K citations

    68

    h-index

1–5