Spatial Regression Discontinuity

Spatial Regression Discontinuity is a quasi-experimental methodological framework that belongs to the class of regression discontinuity designs, distinguished by its explicit incorporation of spatial proximity and geographic thresholds to identify causal effects in spatially referenced data.

103

Publications

10K

Citations

209

Authors

151

Institutions

Publications per year

2017–2026

66

Authors

209

  1. SM
    Stelios Michalopoulos

    Brown University, United States

    4 publications · 680 citations

    4

    h-index

  2. EP
    Elias Papaioannou

    London Business School, United Kingdom

    4 publications · 680 citations

    4

    h-index

  3. KG
    Kai Gehring

    University of Zurich, Switzerland

    3 publications · 65 citations

    3

    h-index

  4. KP
    Kenneth P. Brevoort

    Federal Reserve Board of Governors, United States

    3 publications · 90 citations

    3

    h-index

  5. MD
    Melissa Dell

    Massachusetts Institute of Technology, United States

    3 publications · 1.6K citations

    3

    h-index

1–5 of 209

Venues

  1. SSRN Electronic Journal

    Repository · 21 publications · 1.1K citations

    15

    h-index

  2. American Economic Journal Applied Economics

    4 publications · 306 citations

    4

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 2.5K citations

    3

    h-index

  4. American Economic Journal Economic Policy

    3 publications · 266 citations

    3

    h-index

  5. The Quarterly Journal of Economics

    QJE · 3 publications · 1.5K citations

    3

    h-index

1–5