Count Data Models

Count Data Models is a class of regression models in econometrics that specifically analyze non-negative integer-valued dependent variables by accounting for the discrete nature and potential overdispersion or excess zeros in count outcomes.

2.2K

Publications

211.4K

Citations

3.7K

Authors

1.5K

Institutions

Publications per year

2017–2026

553

Authors

3.7K

  1. CW
    Christian Weiß

    Helmut Schmidt University, Germany

    34 publications · 1.6K citations

    20

    h-index

  2. DL
    Dominique Lord

    Texas A&M University, United States

    21 publications · 2.4K citations

    18

    h-index

  3. DK
    Dimitris Karlis

    Athens University of Economics and Business, Greece

    19 publications · 1.2K citations

    17

    h-index

  4. RW
    Rainer Winkelmann

    University of Zurich, Switzerland

    20 publications · 1.6K citations

    16

    h-index

  5. FZ
    Fukang Zhu

    Jilin University, China

    19 publications · 674 citations

    16

    h-index

1–5 of 3.7K

Venues

  1. Journal of the American Statistical Association

    65 publications · 14.3K citations

    43

    h-index

  2. Biometrics

    61 publications · 6.2K citations

    35

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 50 publications · 2.7K citations

    31

    h-index

  4. Statistics in Medicine

    54 publications · 4.5K citations

    27

    h-index

  5. Accident Analysis & Prevention

    24 publications · 4.1K citations

    24

    h-index

1–5