Semiparametric Regression is a regression model that belongs to the class of statistical regression techniques and is distinguished by incorporating both parametric and nonparametric components to specify the relationship between the dependent variable and a subset of independent variables without requiring full functional form assumptions for all covariates.
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2017–2026
196
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Publications
1.4K
Root-N-Consistent Semiparametric Regression
Peter M. Robinson · Econometrica · 1988 · 2.5K citations
Risk Taking by Mutual Funds as a Response to Incentives
Judith A. Chevalier, Glenn Ellison · Journal of Political Economy · 1997 · 2.4K citations
Business, Finance, Risk Management +17
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Harvard University
Cambridge, United States
29 h-index
65 publications
10.6K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
26 h-index
71 publications
4.8K citations
Texas A&M University
College Station, United States
23 h-index
56 publications
3.4K citations
University of Washington
Seattle, United States
23 h-index
60 publications
5.6K citations
University of Michigan
Ann Arbor, United States
21 h-index
50 publications
2.7K citations
North Carolina State University
Raleigh, United States
20 h-index
39 publications
2.4K citations
University of California, Berkeley
Berkeley, United States
20 h-index
55 publications
3.4K citations
Ludwig-Maximilians-Universität München
Munich, Germany
19 h-index
42 publications
3.3K citations
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Venues
- Journal of the American Statistical Association
106 publications · 12.9K citations
54
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- Biometrics
79 publications · 5K citations
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- Biometrika
62 publications · 5K citations
35
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- The Annals of Statistics
40 publications · 4.7K citations
30
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- Journal of Econometrics
46 publications · 3.1K citations
27
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