Deterministic Frontier Analysis

Deterministic Frontier Analysis is a methodological framework within production function analysis that belongs to the class of frontier estimation techniques and is distinguished by its assumption of a deterministic production frontier, where observed deviations from the maximum feasible output are attributed entirely to inefficiency without accounting for random statistical noise.

30

Publications

2.1K

Citations

61

Authors

38

Institutions

Publications per year

2017–2026

6

Variants

Deterministic Frontier Estimation

Authors

61

  1. PW
    Paul W. Wilson

    The University of Texas at Austin, United States

    2 publications · 389 citations

    2

    h-index

  2. JO
    James Odeck

    Norwegian University of Science and Technology, Norway

    2 publications · 35 citations

    2

    h-index

  3. SJ
    Sisira Jayasuriya

    La Trobe University, Australia

    1 publications · 42 citations

    1

    h-index

  4. PP
    Paola Prioni

    The University of Sydney, Australia

    1 publications · 30 citations

    1

    h-index

  5. MA
    Martı́n A. Rossi

    University of San Andrés, Argentina

    1 publications · 15 citations

    1

    h-index

1–5 of 61

Venues

  1. Journal of Business and Economic Statistics

    JBES · 2 publications · 389 citations

    2

    h-index

  2. American Journal of Agricultural Economics

    1 publications · 111 citations

    1

    h-index

  3. Journal of Productivity Analysis

    1 publications · 18 citations

    1

    h-index

  4. Chilean journal of agricultural research

    1 publications · 35 citations

    1

    h-index

  5. Transportation Planning and Technology

    1 publications · 11 citations

    1

    h-index

1–5