Understanding and interpreting generalized ordered logit models
By Richard Williams. 2016
750 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/796dd37b411e801bb92ec487057c6b5f21367fe0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Statistics and Probability
Citations in the corpus
- Ordinal regression: A review and a taxonomy of models (2021, methodology): “For the interpretation of effects in the generalized ordered logit models, as models with category-specific effects are often called in the social sciences, see also Williams (2016), Hedeker and Mermelstein (1998).”
- Mobility-on-demand versus fixed-route transit systems: An evaluation of traveler preferences in low-income communities (2019, methodology): “After examining the results of the generalized ordered logit model for the pooled data, we decided to stick with the ordered logit model due to two reasons: First, the generalized ordered logit model generated little additional substantive insights; Second, it resulted in some case outcomes with a p”