Detection Tradeoffs

Detection Tradeoffs is a theoretical construct in antitrust economics that delineates the tension between increasing the probability of uncovering cartels through leniency programs and the risk of deterring self-reporting by reducing the lenient treatment available to potential whistleblowers.

6

Publications

436

Citations

11

Authors

8

Institutions

Publications per year

2017–2026

2

Authors

11

  1. MO
    Matthew O. Jackson

    Stanford University, United States

    2 publications · 199 citations

    2

    h-index

  2. DA
    Daron Acemoğlu

    Massachusetts Institute of Technology, United States

    2 publications · 199 citations

    2

    h-index

  3. HH
    Harold Houba

    Tinbergen Institute, Netherlands

    1 publications · 23 citations

    1

    h-index

  4. CH
    Cormac Herley

    Microsoft (United States), United States

    1 publications · 84 citations

    1

    h-index

  5. MC
    Meng-Che Chang

    Georgia Institute of Technology, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 11

Venues

  1. 1

    h-index

  2. Journal of the European Economic Association

    JEEA · 1 publications · 112 citations

    1

    h-index

  3. American Economic Review

    1 publications · 118 citations

    1

    h-index

  4. SSRN Electronic Journal

    Repository · 1 publications · 87 citations

    1

    h-index

  5. Econstor (Econstor)

    Repository · 1 publications · 10 citations

1–5