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...

A rich theoretical literature describes the disadvantages facing plaintiffs who suffer multiple, or intersecting, axes of discrimination. This article extends extant literature by distinguishing two forms of intersectionality: demographic intersectionality, in which overlapping demographic characteristics produce disadvantages that are more than the sum of their parts, and claim intersectionali...

In this paper we identify the main determinants of the exchange rate regimes in Central and Eastern European Countries (CEECs). For this purpose, we use an ordered logit model for the official (de jure) and the actual (de facto) exchange rate classifications. We find that trade openness and concentration, inflation differentials, international reserves stocks, and financial conditions are the m...

Introduction: While increased time spent on social media (TSSM) has been associated with depression and anxiety, the independent role of using multiple social media (SM) platforms is unclear. Methods: We surveyed a nationally-representative sample of 1787 U.S. young adults ages 19e32. Depression and anxiety symptoms were measured using the Patient-Reported Outcomes Measurement Information Syste...

In this paper, we present some distributional properties of the survival and frailty distribution involved in the proportional odds (PO) frailty model. Stochastic orderings are studied for this proportional odds frailtymodel. It is showed that negative dependence arises in the PO frailty model as opposed to the proportional hazard frailty model.

Test score distributions of schools or demographic groups are often summarized by frequencies of students scoring in a small number of ordered proficiency categories. We show that heteroskedastic ordered probit (HETOP) models can be used to estimate means and standard deviations of multiple groups’ test score distributions from such data. Because the scale of HETOP estimates is indeterminate up...