IV models of ordered choice

Fuzzy Random Utility Choice Models: The Case of Telecommuting Suitability

Random utility models have been widely used in many diverse fields. Considering utility as a random variable opened many new analytical doors to researchers in explaining behavioral phenomena. Introducing and incorporating the random error term into the utility function had several reasons, including accounting for unobserved variables. This paper incorporates fuzziness into random utility mode...

Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice.

This paper presents statistical evidence showing how variations in the attributes of road users can lead to variations in the probabilities of sustaining different levels of injury in motor vehicle accidents. Data from New South Wales, Australia, is used to estimate two models of multiple choice which are reasonably commonplace in the econometrics literature: the ordered logit model and the ord...

The Identification and Economic Content of Ordered Choice Models with Stochastic Thresholds

The Identification and Economic Content of Ordered Choice Models with Stochastic Thresholds This paper extends the widely used ordered choice model by introducing stochastic thresholds and interval-specific outcomes. The model can be interpreted as a generalization of the GAFT (MPH) framework for discrete duration data that jointly models durations and outcomes associated with different stoppin...

A note comparing support vector machines and ordered choice models' predictions of international banks' ratings

We find that Support Vector Machines virtually always predict international bank ratings better than ordered choice models.

Choice in ordered-tree-based decision problems