Kernel Weighting
Kernel Weighting is a nonparametric estimation technique in regression discontinuity designs that assigns differential weights to observations based on their proximity to the cutoff, using a kernel function to determine the weighting scheme.
87
Publications
6.8K
Citations
212
Authors
117
Institutions
Publications per year
2017–2026
36
87
Multivariate Locally Weighted Least Squares Regression
David Ruppert, M. P. Wand · The Annals of Statistics · 1994 · 1.1K citations
1–5 of 87
212
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Universidade Federal de Pernambuco, Brazil
3 publications · 95 citations
3
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3
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2
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1–5 of 212
117

UNSW Sydney
Sydney, Australia
4 h-index
4 publications
508 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
4 publications
833 citations

Universidade Federal da Paraíba
João Pessoa, Brazil
3 h-index
3 publications
95 citations

University of British Columbia
Vancouver, Canada
3 h-index
3 publications
471 citations

Universidade Federal de Pernambuco
Recife, Brazil
3 h-index
5 publications
171 citations
Stanford University
Stanford, United States
3 h-index
5 publications
1.4K citations
Federal Reserve Board of Governors
Washington D.C., United States
2 h-index
2 publications
201 citations

Hohai University
Nanjing, China
2 h-index
7 publications
176 citations
1–8 of 117
Repository · 5 publications · 64 citations
5
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4 publications · 602 citations
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4 publications · 1.4K citations
4
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Repository · 3 publications · 179 citations
3
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3 publications · 62 citations
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