Hurdle Regression is a statistical modeling framework that belongs to the class of two-part regression models, differing from its counterparts by explicitly separating the process generating zero outcomes from that generating positive outcomes through a binary hurdle mechanism and a truncated-at-zero count or continuous component, respectively.
169
Publications
12.4K
Citations
522
Authors
289
Institutions
Publications per year
2017–2026
71
Parents
Publications
169
Regression Models for Count Data in<i>R</i>
Achim Zeileis, Christian Kleiber, Simon Jackman · Journal of Statistical Software · 2008 · 2.4K citations · Full text
… and the Cross-Section of Expected Returns
Campbell R. Harvey, Yan Liu · Review of Financial Studies · 2015 · 2K citations · Full text
1–5 of 169
Authors
522
- AZ
5
h-index
- WH
4
h-index
- ST
4
h-index
- AD
3
h-index
- MF
3
h-index
1–5 of 522
Institutions
289
New York University
New York, United States
5 h-index
5 publications
90 citations
University of Alberta
Edmonton, Canada
4 h-index
10 publications
468 citations
Obafemi Awolowo University
Ile-Ife, Nigeria
4 h-index
5 publications
121 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
4 h-index
8 publications
170 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
3 publications
219 citations
Ghent University
Ghent, Belgium
3 h-index
14 publications
1.5K citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
3 h-index
6 publications
252 citations
Oklahoma State University
Stillwater, United States
3 h-index
3 publications
98 citations
1–8 of 289
Venues
- PLoS ONE
8 publications · 278 citations
8
h-index
- Applied Economics
5 publications · 148 citations
5
h-index
- The Stata Journal Promoting communications on statistics and Stata
5 publications · 651 citations
5
h-index
- SSRN Electronic Journal
Repository · 3 publications · 50 citations
3
h-index
- Analytic Methods in Accident Research
3 publications · 104 citations
3
h-index
1–5