Many Instruments

Many Instruments is an econometric method in the instrumental variables framework that addresses the challenges of estimation and inference when the number of instruments is large relative to the sample size, typically by employing regularization, dimension reduction, or asymptotic refinements to maintain consistency and efficiency.

192

Publications

28.6K

Citations

399

Authors

236

Institutions

Publications per year

2017–2026

32

Variants

Many-instrument Problem

Authors

399

  1. CH
    Christian Hansen

    University of Chicago, United States

    10 publications · 1.2K citations

    10

    h-index

  2. VC
    Victor Chernozhukov

    Massachusetts Institute of Technology, United States

    9 publications · 855 citations

    9

    h-index

  3. WK
    Whitney K. Newey

    Massachusetts Institute of Technology, United States

    8 publications · 857 citations

    8

    h-index

  4. GW
    Guido W. Imbens

    Stanford University, United States

    6 publications · 658 citations

    6

    h-index

  5. AB
    Alexandre Belloni

    Duke University, United States

    6 publications · 404 citations

    6

    h-index

1–5 of 399

Venues

  1. Econometrica

    11 publications · 13.1K citations

    10

    h-index

  2. SSRN Electronic Journal

    Repository · 11 publications · 1K citations

    10

    h-index

  3. Journal of Econometrics

    10 publications · 508 citations

    10

    h-index

  4. Econometric Theory

    5 publications · 142 citations

    5

    h-index

  5. Journal of Applied Econometrics

    4 publications · 515 citations

    4

    h-index

1–5