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
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4K
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75
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69
Institutions
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2017–2026
20
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38
The impact of R&D subsidies on firm innovation
Raffaello Bronzini, Paolo Piselli · Research Policy · 2015 · 759 citations
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Bank of Italy
Rome, Italy
6 h-index
12 publications
2.7K citations
University of California, Berkeley
Berkeley, United States
3 h-index
8 publications
97 citations

Washington University in St. Louis
St Louis, United States
3 h-index
4 publications
134 citations
California University of Pennsylvania
California, United States
2 h-index
2 publications
550 citations
University of Bergen
Bergen, Norway
2 h-index
2 publications
103 citations
IZA - Institute of Labor Economics
Bonn, Germany
2 h-index
6 publications
582 citations
Columbia University
New York, United States
2 h-index
2 publications
120 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
104 citations
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Repository · 5 publications · 212 citations
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JHR · 2 publications · 98 citations
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Repository · 2 publications · 147 citations
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2 publications · 121 citations
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2 publications · 106 citations
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