Random Coefficients Logit is a discrete choice model that extends the standard multinomial logit framework by allowing taste coefficients to vary across individuals according to a specified probability distribution, thereby accommodating heterogeneity in preferences.
101
Publications
11.4K
Citations
200
Authors
135
Institutions
Publications per year
2017–2026
12
Variants
Mixed LogitRandom Parameters Logit
Parents
Publications
101
Mixed MNL models for discrete response
Daniel McFadden, Kenneth Train · Journal of Applied Econometrics · 2000 · 4.1K citations
Mixed MNL models for discrete response
Daniel McFadden, Kenneth Train · Journal of Applied Econometrics · 2000 · 324 citations
1–5 of 101
Authors
200
- PE
4
h-index
- PK
4
h-index
- MS
4
h-index
- KI
3
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- JL
3
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1–5 of 200
Institutions
135
University of Chicago
Chicago, United States
5 h-index
8 publications
877 citations
University of California, Berkeley
Berkeley, United States
5 h-index
7 publications
9.1K citations
University of Connecticut
Storrs, United States
5 h-index
6 publications
412 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
4 publications
185 citations
National Bureau of Economic Research
Cambridge, United States
4 h-index
5 publications
244 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
4 publications
202 citations
Cornell University
Ithaca, United States
4 h-index
5 publications
1.3K citations
University of Southern California
Los Angeles, United States
4 h-index
6 publications
287 citations
1–8 of 135
Venues
- SSRN Electronic Journal
Repository · 7 publications · 158 citations
7
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- Journal of Business and Economic Statistics
JBES · 5 publications · 367 citations
5
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- Journal of Econometrics
4 publications · 346 citations
4
h-index
- Journal of Applied Econometrics
4 publications · 4.5K citations
4
h-index
- Transportation Research Record Journal of the Transportation Research Board
TRR · 3 publications · 106 citations
3
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1–5