Certainty Calibration

Certainty Calibration is a methodological framework within stated preference methods that adjusts stated certainty responses to align with empirically observed decision accuracy, thereby distinguishing itself from related elicitation techniques by formally correcting probabilistic inconsistencies in self-assessed confidence judgments.

21

Publications

1.4K

Citations

45

Authors

32

Institutions

Publications per year

2017–2026

2

Authors

45

  1. MS
    Mihail Samnaliev

    Boston Children's Hospital, United States

    2 publications · 92 citations

    2

    h-index

  2. TH
    Thomas H. Stevens

    University of Massachusetts Amherst, United States

    2 publications · 92 citations

    2

    h-index

  3. GK
    Gideon Keren

    Eindhoven University of Technology, Netherlands

    1 publications · 61 citations

    1

    h-index

  4. KK
    Katrina Kimport

    University of California, San Francisco, United States

    1 publications · 60 citations

    1

    h-index

  5. EM
    Emmanouil Mentzakis

    University of Southampton, United Kingdom

    1 publications · 17 citations

    1

    h-index

1–5 of 45

Venues

  1. Environmental and Resource Economics

    2 publications · 56 citations

    2

    h-index

  2. Real Estate Economics

    1 publications · 58 citations

    1

    h-index

  3. Contraception

    1 publications · 60 citations

    1

    h-index

  4. 1

    h-index

  5. AgEcon Search (University of Minnesota, USA)

    Repository · 1 publications · 18 citations

    1

    h-index

1–5