Sharp Regression Discontinuity

Sharp Regression Discontinuity is a quasi-experimental design in which the probability of treatment assignment changes discontinuously from zero to one at a precise threshold of a continuous assignment variable, enabling causal inference by comparing observations just above and below the cutoff.

38

Publications

4K

Citations

75

Authors

69

Institutions

Publications per year

2017–2026

20

Authors

75

  1. RB
    Raffaello Bronzini

    Bank of Italy, Italy

    6 publications · 1.4K citations

    6

    h-index

  2. MD
    Matias D. Cattaneo

    University of Michigan, United States

    4 publications · 1.4K citations

    4

    h-index

  3. PP
    Paolo Piselli

    Bank of Italy, Italy

    3 publications · 841 citations

    3

    h-index

  4. EI
    Eleonora Iachini

    Bank of Italy, Italy

    3 publications · 514 citations

    3

    h-index

  5. RT
    Rocío Titiunik

    University of Michigan, United States

    3 publications · 1.3K citations

    3

    h-index

1–5 of 75

Venues

  1. SSRN Electronic Journal

    Repository · 5 publications · 212 citations

    5

    h-index

  2. The Journal of Human Resources

    JHR · 2 publications · 98 citations

    2

    h-index

  3. RePEc: Research Papers in Economics

    Repository · 2 publications · 147 citations

    2

    h-index

  4. The Review of Economics and Statistics

    2 publications · 121 citations

    2

    h-index

  5. Journal of Policy Analysis and Management

    2 publications · 106 citations

    2

    h-index

1–5