Overidentification Tests

Overidentification Tests is a statistical procedure used in instrumental variables analysis to assess the validity of excluded instruments by testing whether the instruments are uncorrelated with the error term, under the condition that the model is overidentified.

58

Publications

3.6K

Citations

85

Authors

65

Institutions

Publications per year

2017–2026

15

Variants

Overidentifying Restrictions Tests

Authors

85

  1. JB
    Joseph B. Kadane

    Carnegie Mellon University, United States

    4 publications · 142 citations

    4

    h-index

  2. JF
    Jan F. Kiviet

    University of Amsterdam, Netherlands

    3 publications · 68 citations

    3

    h-index

  3. NK
    Naoto Kunitomo

    The University of Tokyo, Japan

    3 publications · 85 citations

    3

    h-index

  4. TW
    T. W. Anderson

    Stanford University, United States

    3 publications · 86 citations

    3

    h-index

  5. ME
    Mark E. Schaffer

    IZA - Institute of Labor Economics, Germany

    2 publications · 241 citations

    2

    h-index

1–5 of 85

Venues

  1. Econometrica

    9 publications · 261 citations

    9

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  2. SSRN Electronic Journal

    Repository · 6 publications · 134 citations

    6

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 5 publications · 151 citations

    5

    h-index

  4. Journal of Econometrics

    5 publications · 127 citations

    5

    h-index

  5. 3

    h-index

1–5