Bootstrap Efficiency Estimation

Bootstrap Efficiency Estimation is a statistical methodology within the field of efficiency analysis that employs resampling techniques to correct bias and estimate the sampling distribution of efficiency scores derived from non-parametric frontier models.

386

Publications

23.6K

Citations

761

Authors

466

Institutions

Publications per year

2017–2026

120

Authors

761

  1. PW
    Paul W. Wilson

    The University of Texas at Austin, United States

    16 publications · 4.7K citations

    15

    h-index

  2. LS
    Léopold Simar

    UCLouvain, Belgium

    16 publications · 4.8K citations

    15

    h-index

  3. CP
    Carlos Pestana Barros

    University of Lisbon, Portugal

    11 publications · 564 citations

    11

    h-index

  4. AG
    A. George Assaf

    University of Massachusetts Amherst, United States

    10 publications · 499 citations

    10

    h-index

  5. PW
    Peter Wänke

    Universidade Federal do Rio de Janeiro, Brazil

    8 publications · 375 citations

    8

    h-index

1–5 of 761

Venues

  1. Applied Economics

    16 publications · 1.3K citations

    14

    h-index

  2. European Journal of Operational Research

    10 publications · 585 citations

    10

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 9 publications · 386 citations

    9

    h-index

  4. Journal of Productivity Analysis

    7 publications · 694 citations

    7

    h-index

  5. SSRN Electronic Journal

    Repository · 7 publications · 158 citations

    7

    h-index

1–5