Probabilistic Voting Models is a formal political economy framework in which voter choice is modeled as a stochastic process, distinguishing it from deterministic voting models by allowing individual voting probabilities to vary continuously with policy positions and idiosyncratic factors.
166
Publications
9.2K
Citations
273
Authors
170
Institutions
Publications per year
2017–2026
17
Parents
Publications
166
1–5 of 166
Authors
273
- PJ
6
h-index
- NS
5
h-index
- WV
5
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- AD
5
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- NS
5
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1–5 of 273
Institutions
170
Carnegie Mellon University
Pittsburgh, United States
8 h-index
14 publications
446 citations
Imperial College London
London, United Kingdom
5 h-index
6 publications
245 citations
Stanford University
Stanford, United States
5 h-index
6 publications
632 citations
University of Maryland, College Park
College Park, United States
5 h-index
8 publications
181 citations
University of Rochester
Rochester, United States
5 h-index
5 publications
470 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
5 publications
251 citations
Ifo Institute for Economic Research
Munich, Germany
4 h-index
4 publications
111 citations
Harvard University
Cambridge, United States
4 h-index
4 publications
212 citations
1–8 of 170
Venues
- Public Choice
10 publications · 726 citations
10
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- SSRN Electronic Journal
Repository · 8 publications · 230 citations
8
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- Social Choice and Welfare
7 publications · 352 citations
7
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- Journal of the American Statistical Association
7 publications · 442 citations
7
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- Electoral Studies
5 publications · 209 citations
5
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1–5