Auction Data Analysis

Auction Data Analysis is a methodological framework within the domain of cartel detection that systematically examines bidding patterns, price trajectories, and participant behaviors in auction records to identify anomalous regularities indicative of collusive practices.

172

Publications

7.3K

Citations

333

Authors

192

Institutions

Publications per year

2017–2026

41

Authors

333

  1. WJ
    Wolfgang Jank

    University of Maryland, College Park, United States

    10 publications · 373 citations

    10

    h-index

  2. GS
    Galit Shmueli

    National Tsing Hua University, Taiwan

    9 publications · 357 citations

    9

    h-index

  3. HX
    Haiping Xu

    University of Massachusetts Dartmouth, United States

    6 publications · 212 citations

    6

    h-index

  4. JN
    Jun Nakabayashi

    Kindai University, Japan

    6 publications · 262 citations

    6

    h-index

  5. KK
    Kei Kawai

    University of California, Berkeley, United States

    6 publications · 262 citations

    6

    h-index

1–5 of 333

Venues

  1. SSRN Electronic Journal

    Repository · 16 publications · 429 citations

    14

    h-index

  2. RePEc: Research Papers in Economics

    Repository · 5 publications · 71 citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 106 citations

    4

    h-index

  4. American Economic Review

    4 publications · 525 citations

    4

    h-index

  5. The RAND Journal of Economics

    4 publications · 185 citations

    4

    h-index

1–5