Cartel Detection

Cartel Detection is an investigative process within competition policy that identifies coordinated illegal behavior among market participants through systematic analysis of market data, firm communications, and whistleblower evidence to distinguish collusive practices from competitive conduct.

79

Publications

2.8K

Citations

103

Authors

74

Institutions

Publications per year

2017–2026

21

Authors

103

  1. JM
    John M. Connor

    Purdue University West Lafayette, United States

    7 publications · 166 citations

    7

    h-index

  2. GS
    Giancarlo Spagnolo

    Stockholm School of Economics, Sweden

    5 publications · 186 citations

    5

    h-index

  3. KH
    Kai Hüschelrath

    Centre for European Economic Research, Germany

    5 publications · 91 citations

    5

    h-index

  4. RM
    Rosa M. Abrantes-Metz

    CCM Clinical Research Group (United States), United States

    4 publications · 56 citations

    4

    h-index

  5. EC
    Emmanuel Combe

    National Institute of Advanced Industrial Science and Technology, Japan

    3 publications · 183 citations

    3

    h-index

1–5 of 103

Venues

  1. SSRN Electronic Journal

    Repository · 25 publications · 522 citations

    14

    h-index

  2. 3

    h-index

  3. The Antitrust Bulletin

    3 publications · 126 citations

    3

    h-index

  4. 2

    h-index

  5. American Economic Review

    2 publications · 318 citations

    2

    h-index

1–5