Tobit Regression

Tobit Regression is a regression model designed for censored dependent variables, distinguished from other regression methods by its ability to account for data that are truncated or limited below or above a certain threshold due to measurement constraints.

1.7K

Publications

94.7K

Citations

4.3K

Authors

1.7K

Institutions

Publications per year

2017–2026

648

Variants

Censored Regression Model

Parents

Authors

4.3K

  1. BX
    Bach Xuan Tran

    Hanoi Medical University, Vietnam

    19 publications · 1.2K citations

    18

    h-index

  2. CA
    Carl A. Latkin

    Johns Hopkins University, United States

    17 publications · 1.1K citations

    17

    h-index

  3. RH
    Roger Ho

    National University of Singapore, Singapore

    17 publications · 1.1K citations

    17

    h-index

  4. CS
    Cyrus S. H. Ho

    National University of Singapore, Singapore

    16 publications · 999 citations

    16

    h-index

  5. PN
    Peter Nunnenkamp

    Kiel Institute for the World Economy, Germany

    11 publications · 510 citations

    11

    h-index

1–5 of 4.3K

Venues

  1. SSRN Electronic Journal

    Repository · 47 publications · 1.8K citations

    23

    h-index

  2. Sustainability

    41 publications · 1.3K citations

    23

    h-index

  3. Applied Economics

    30 publications · 1.8K citations

    21

    h-index

  4. 20

    h-index

  5. AgEcon Search (University of Minnesota, USA)

    Repository · 36 publications · 1.1K citations

    19

    h-index

1–5