The current paper focuses on analyzing and modeling the physical activity participation levels (in terms of the number of daily bouts or episodes of physical activity during a weekend day) of all members of a family jointly. Essentially, we consider a family as a cluster of individuals whose...

The dominant approach in the literature to dealing with sample selection is to assume a bivariate normality assumption directly on the error terms, or on transformed error terms, in the discrete and continuous equations. Such an assumption can be restrictive and inappropriate, since the...

The current paper focuses on analyzing and modeling the physical activity participation levels (in terms of the number of daily "bouts" or "episodes" of physical activity during a weekend day) of all members of a family jointly. Essentially, we consider a family as a "cluster" of individuals...

This paper proposes a multivariate ordered-response system framework to model the interactions in non-work activity episode decisions across household and non-household members at the level of activity generation. Such interactions in activity decisions across household and non-household members...

This study proposes a simple and practical Composite Marginal Likelihood (CML) inference approach to estimate ordered-response discrete choice models with flexible copula-based spatial dependence structures across observational units. The approach is applicable to data sets of any size, provides...

In this paper, we formulate and estimate a nested model structure that includes a multiple discrete-continuous extreme value (MDCEV) component to analyze the choice of vehicle type/vintage and usage in the upper level and a multinomial logit (MNL) component to analyze the choice of vehicle...