This paper provides a new estimator to address the zero-valued market shares in BLP random-coefficient logit demand estimation.

This paper evaluates the statistical methodologies of cluster analysis, discriminant analysis, and Logit analysis used in the examination of intrusion detection data. The research is based on a sample of 1200 random observations for 42 variables of the KDD-99 database, that contains ‘normal’ and ‘bad’ connections. The results indicate that Logit analysis is more effective than cluster or discri...

The purpose of this study is to estimate structural elements of patients’ demand functions for healthcare facilities, particularly hospitals and ambulatory surgery centers (ASCs), towards the goal of answering questions about welfare gains earned from the introduction of ASCs. Spatial variation across patients and facilities, among other variables, is used for identification. Using data that co...

This paper focuses on identifying the appropriate ordered response structure for modeling pedestrian injury severity. The alternative ordered response approaches considered for the empirical analysis include: ordered logit model (OL), generalized ordered logit model (GOL) and latent segmentation based ordered logit model (LSOL). The GOL and LSOL models enhance the traditional OL model in differ...

With advances in modern medicine and clinical diagnosis, case-control data with characterization of finer subtypes of cases are often available. In matched case-control studies, missingness in exposure values often leads to deletion of entire stratum, and thus entails a significant loss in information. When subtypes of cases are treated as categorical outcomes, the data are further stratified a...

Mycotoxins contamination in food is a serious source of health risks. This paper evaluates the Italian consumers’ perception of the mycotoxins’ risk through their willingness to pay (WTP) for a hypothetical bottle of milk obtained by cows fed with, inter alia, maize certified for the “good practices” (GPs) that reduce this risk. Therefore, a web-based stated choice experiment (SCE) has been car...

Modeling travel behavior is a key aspect of demand analysis, where aggregate demand is the accumulation of individuals’ decisions. In this chapter, we focus on “short-term” travel decisions. The most important short-term travel decisions include choice of destination for a non-work trip, choice of travel mode, choice of departure time and choice of route. It is important to note that short-term...