Probit Choice Models

Probit Choice Models is a discrete choice model that belongs to the class of random utility models and is distinguished by its assumption that the stochastic component of utility follows a multivariate normal distribution, enabling the modeling of correlated error structures across alternatives.

477

Publications

30.1K

Citations

1K

Authors

513

Institutions

Publications per year

2017–2026

102

Variants

Probit Models

Authors

1K

  1. CR
    Chandra R. Bhat

    The University of Texas at Austin, United States

    5 publications · 101 citations

    5

    h-index

  2. MP
    Michael P. Keane

    University of Technology Sydney, Australia

    5 publications · 743 citations

    5

    h-index

  3. CY
    Chengyan Yue

    University of Minnesota, United States

    4 publications · 160 citations

    4

    h-index

  4. DL
    Dean Lacy

    The Ohio State University, United States

    4 publications · 314 citations

    4

    h-index

  5. RÁ
    Ricardo Álvarez-Daziano

    Université Laval, Canada

    4 publications · 66 citations

    4

    h-index

1–5 of 1K

Venues

  1. AgEcon Search (University of Minnesota, USA)

    Repository · 19 publications · 565 citations

    14

    h-index

  2. SSRN Electronic Journal

    Repository · 15 publications · 322 citations

    13

    h-index

  3. 12

    h-index

  4. Marketing Science

    11 publications · 1.7K citations

    11

    h-index

  5. Applied Economics

    10 publications · 433 citations

    10

    h-index

1–5