Hidden Information Models

Hidden Information Models is a theoretical framework in moral hazard assessment that belongs to the class of principal-agent models wherein the distinguishing feature is the presence of asymmetric information due to the agent's private knowledge of their type or characteristics prior to contract formation.

390

Publications

24.6K

Citations

1.2K

Authors

502

Institutions

Publications per year

2017–2026

170

Variants

Adverse Selection Models

Authors

1.2K

  1. RC
    Rémi Cogranne

    Université de Technologie de Troyes, France

    8 publications · 239 citations

    8

    h-index

  2. FR
    Florent Retraint

    Université de Technologie de Troyes, France

    8 publications · 239 citations

    8

    h-index

  3. GC
    Gary Charness

    University of California, Santa Barbara, United States

    5 publications · 212 citations

    5

    h-index

  4. CZ
    Cathel Zitzmann

    Centre National de la Recherche Scientifique, France

    5 publications · 101 citations

    5

    h-index

  5. SY
    Steve Young

    University of Cambridge, United Kingdom

    4 publications · 749 citations

    4

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 858 citations

    12

    h-index

  2. SSRN Electronic Journal

    Repository · 8 publications · 266 citations

    8

    h-index

  3. IEEE Access

    6 publications · 254 citations

    6

    h-index

  4. Procedia Computer Science

    6 publications · 720 citations

    6

    h-index

  5. IEEE Transactions on Cybernetics

    4 publications · 385 citations

    4

    h-index

1–5