We propose a model for a point-referenced spatially correlated ordered categorical response and methodology for estimation of model parameters. Models and methods for spatially correlated continuous response data are widespread, but models for spatially correlated categorical data, and especially ordered multicategory data, are less developed. Bayesian models and methodology have been proposed ...

There have been many studies that have documented the application of crash severity models to explore the relationship between accident severity and its contributing factors. Although a large amount of work has been done on different types of models, no research has been conducted about quantifying the sample size requirements for crash severity modeling. Similar to count data models, small dat...

We study the factors affecting the academic performance of economics students at a small Canadian university using the Ordered Probit method, with Ordinary Least Squares and the Propensity Score Matching method used in robustness checks. Graded homework, shown to have ambiguous effects in previous work, here had a positive effect. A major contribution of the study is its analysis for various su...

Using job satisfaction data from the National Longitudinal Survey of Youth, I examine whether people who move to predominantly male jobs are fully compensated through their wages for their new jobs’ disamenities. Estimates from the ordered probit models indicate that women are satisfied with their pay in predominantly male jobs, but dislike the job amenities. In contrast, men appreciate both th...

We discuss a class of copula-based ordered probit models with endogenous switching. Such models can be useful for the analysis of self-selection in subjective well-being equations in general, and job satisfaction in particular, where assignment of regressors may be endogenous rather than random, resulting from individual maximization of well-being. In an application to public and private sector...