Multinomial probit and multinomial logit: a comparison of choice models for voting research
By Jay K. Dow, James W. Endersby. 2004
404 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Political Science and International Relations
View Paper: https://www.semanticscholar.org/paper/801512069ca8e8a4cba5321d3442b0f1b151b7d1
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In Economics and Econometrics
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Citations in the corpus
- The Mean Voter Theorem: Necessary and Sufficient Conditions for Convergent Equilibrium (2007, neutral): “…for a number of countries has been based on the “multinomial logit” assumption that the stochastic errors had a “Type I extreme value distribution” (Dow and Endersby, 2004) and has concluded that divergence rather than convergence is typical.5 With the same stochastic distribution assumption,…”
- A comparative study of machine learning classifiers for modeling travel mode choice (2017, methodology): “…independence assumption, but parameter estimation is substantially more difficult than for the MNL model,47 which hampers the models’ usefulness (Dow and Endersby, 2004).48 Methods from the field of machine learning are a promising alternative to statistical approaches for49 modeling travel…”