Discrete Choice Estimation is a statistical inference framework within estimation theory that specifically models and predicts the selection behavior among a finite set of categorical alternatives by estimating the probability of choosing one option over others based on observed explanatory variables.
1.4K
Publications
132.3K
Citations
2.7K
Authors
1.1K
Institutions
Publications per year
2017–2026
346
Parents
Publications
1.4K
Mixed MNL models for discrete response
Daniel McFadden, Kenneth Train · Journal of Applied Econometrics · 2000 · 4.1K citations
Dummy Endogenous Variables in a Simultaneous Equation System
James J. Heckman · Econometrica · 1978 · 1.9K citations
1–5 of 1.4K
Authors
2.7K
- DA
18
h-index
- JM
16
h-index
- SH
13
h-index
- JJ
13
h-index
- DC
13
h-index
1–5 of 2.7K
Institutions
1.1K
The University of Sydney
Sydney, Australia
27 h-index
59 publications
8.9K citations
National Bureau of Economic Research
Cambridge, United States
26 h-index
52 publications
4.8K citations
University of California, Berkeley
Berkeley, United States
25 h-index
42 publications
13.1K citations
University of Chicago
Chicago, United States
24 h-index
45 publications
7.3K citations
Massachusetts Institute of Technology
Cambridge, United States
24 h-index
44 publications
6K citations
Duke University
Durham, United States
21 h-index
31 publications
2.2K citations
New York University
New York, United States
20 h-index
21 publications
3.3K citations
Carnegie Mellon University
Pittsburgh, United States
20 h-index
34 publications
5.3K citations
1–8 of 1.1K
Venues
- SSRN Electronic Journal
Repository · 84 publications · 2.5K citations
27
h-index
- Econometrica
30 publications · 11.7K citations
26
h-index
- Transportation Research Part B Methodological
34 publications · 6.9K citations
24
h-index
- Journal of Econometrics
34 publications · 3.4K citations
23
h-index
- Transportation Research Record Journal of the Transportation Research Board
TRR · 44 publications · 4K citations
22
h-index
1–5