The estimation of random parameters by means of mixed logit models is becoming current practice amongst discrete choice analysts, one of the most straightforward applications being the derivation of willingness to pay distribution over a heterogeneous population. In numerous practical cases, parametric distributions are a priori specified and the parameters for these distributions are estimated...

i ABSTRACT JENNIFER C. JARRELL Human Papillomavirus Vaccine Policy in the United States (Under the direction of RUSS TOAL, FACULTY MEMBER) HPV vaccine school entry mandates and vaccine funding by state was examined using the Diffusion of Innovations (DOI) theory. The DOI was applied to HPV immunization policy to evaluate the rate of vaccine adoption and to determine whether associations existed...

Mixed logit models represent a powerful discrete choice analytical model but require assumptions about the functional form of the parameter distributions. The use of unbounded distributions, such as the normal distribution, may be regarded as unsuitable where theory indicates that all are negatively affected by increases in an attribute, such as price. Bounded distributions such as the triangul...

with the Portraits of American Life Study, a national survey of 2,610 American adults aged 18-80+. Results of multivariate logistic and ordered logistic regression models reveal that young adults are most likely to have recently offered advice to family members, friends, or strangers. Interestingly, however, the connection between advice-giving and the sense of life meaningfulness is most prono...

This paper empirically analyzes the location decisions of the world’s major gold mining …rms using a data set of political, economic, regulatory, infrastructural and investment risk variables observed for a large number of gold producing countries since 1975. The aim of the study is to determine the signi…cance of environmental stringency in forming location decisions while controlling for othe...

T paper studies assortment planning and pricing for a product category with heterogeneous product types from two brands. We model consumer choice using the nested multinomial logit framework with two different hierarchical structures: a brand-primary model in which consumers choose a brand first, then a product type in the chosen brand, and a type-primary model in which consumers choose a produ...

This study examines the Behavior Based Safety (BBS) program of an oil production platform located off the coast of West Africa. The program has been in place at this 200-employee location since January 2002. All observation reports for 2003 were made available to explore relationships between behaviors recorded and incidence rates. A sample of 382 observation reports was selected from the 64,64...

In this study, we examined determinant factors associated with the residential consumption and perception of savings of electricity and city gas; this was based on data collected from a large-scale questionnaire sent to households in Suita, Osaka Prefecture, Japan, in two different years: 2009 and 2013. We applied an ordered logit model to determine the overall trend of the determinant factors,...

Purpose – This study examines whether the type of ultimate controllers (i.e., private vs. state) affects corporate disclosure quality and whether the relationship between the type of ultimate controllers and corporate disclosure quality is moderated by the separation of ownership and control. Design/methodology/approach – This study employs the data of 405 Chinese listed firms in 2005. We revie...

Multinomial logit (MNL) models have been applied extensively in the fields of transportation engineering, marketing and recreational demand modeling. So far, this type of model has not been used to estimate the proportion of crashes by collision type. Consequently, the objective of this study consists of investigating the applicability of MNL models for predicting the proportion of crashes by c...