Identification Conditions

Identification Conditions is a theoretical framework within econometric modeling that specifies the necessary mathematical and statistical requirements for uniquely determining the structural parameters of a simultaneous equations system or generalized method of moments estimator from observed data.

214

Publications

26.5K

Citations

334

Authors

224

Institutions

Publications per year

2017–2026

33

Authors

334

  1. WK
    Whitney K. Newey

    Massachusetts Institute of Technology, United States

    6 publications · 1.8K citations

    6

    h-index

  2. RL
    Rosa L. Matzkin

    University of California, Los Angeles, United States

    5 publications · 327 citations

    5

    h-index

  3. TM
    Thierry Magnac

    Toulouse School of Economics, France

    4 publications · 252 citations

    4

    h-index

  4. SB
    Steven Berry

    Yale University, United States

    4 publications · 234 citations

    4

    h-index

  5. SP
    Steven Penrod

    John Jay College of Criminal Justice, United States

    4 publications · 230 citations

    4

    h-index

1–5 of 334

Venues

  1. Econometrica

    25 publications · 4.2K citations

    24

    h-index

  2. Econometric Theory

    17 publications · 5.2K citations

    15

    h-index

  3. Journal of Econometrics

    13 publications · 693 citations

    12

    h-index

  4. SSRN Electronic Journal

    Repository · 10 publications · 482 citations

    10

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 8 publications · 193 citations

    8

    h-index

1–5