Information-based Bidding

Information-Based Bidding is a strategic decision-making framework in auction theory whereby a bidder formulates bids based on the systematic analysis and utilization of available private, public, or inferred information to maximize expected utility.

143

Publications

10.9K

Citations

285

Authors

170

Institutions

Publications per year

2017–2026

25

Authors

285

  1. PM
    Paul Milgrom

    Stanford University, United States

    4 publications · 1K citations

    4

    h-index

  2. SA
    Susan Athey

    Stanford University, United States

    4 publications · 334 citations

    4

    h-index

  3. DB
    Dirk Bergemann

    Yale University, United States

    3 publications · 183 citations

    3

    h-index

  4. RW
    Robert Wilson

    Stanford University, United States

    3 publications · 449 citations

    3

    h-index

  5. TN
    Tibor Neugebauer

    University of Luxembourg, Luxembourg

    3 publications · 164 citations

    3

    h-index

1–5 of 285

Venues

  1. SSRN Electronic Journal

    Repository · 13 publications · 425 citations

    11

    h-index

  2. Econometrica

    8 publications · 1.7K citations

    8

    h-index

  3. Decision Support Systems

    5 publications · 424 citations

    5

    h-index

  4. Management Science

    4 publications · 707 citations

    4

    h-index

  5. The RAND Journal of Economics

    3 publications · 173 citations

    3

    h-index

1–5