The present study investigates the impact of financial self-efficacy on personal finance behavior. To this end, the data collected from the questionnaire have been employed. Once the validity and reliability of the questionnaire are confirmed, the relation between financial self-efficacy and the likelihood of holding a specific financial product is studied using the multivariate Probit model. P...

This study provides an empirical analysis of the injury severity outcomes maritime accidents by exploring influential factors for two underlying states: injury-free state and injury-prone state. The former may reflect generation mechanism with limited potential to result in outcomes, whereas, latter represent when accident falls into category. To account possible presence these regimes, a zero-...

Understanding the underlying relationship between crash injury severity and factors such as driver’s characteristics, vehicle type, and roadway conditions is very important for improving traffic safety. Most previous studies on this topic used traditional statistical models such as ordered probit OP , multinomial logit, and nested logit models. This research introduces the Bayesian inference an...

Cloud computing has become one of the most important technologies for reducing cost and increasing productivity by efficiently using IT resources in various companies. The cloud computing system has mainly been built for private enterprise, but public institutions, such as governments and national institutes, also plans to introduce the system in Korea. Various researches have pointed to securi...

Using recent survey data from the Panel Study of Family Dynamics (PSFD) on 1,655 married persons born in 1964-1976 in southeastern China and Taiwan, we studied coresidence with elderly parents using a multinomial probit model for coresidence type and an ordered probit model for residential distance. The study yielded four findings: (a) Patrilocal coresidence was more prevalent in Taiwan than in...

A growing number of empirical studies involve the assessment of influences on a choice amongst ordered discrete alternatives. Ordered logit and probit models are well known, including extensions to accommodate random parameters and heteroscedasticity in unobserved variance. This paper extends the ordered choice random parameter model to permit random parameterization of thresholds and decomposi...

Deprivation scales derived from multiple, typically dichotomous, indicators, are increasingly being used to measure households’ standards of living, and to complement poverty measures based on low income. We propose a type of multivariate probit model that generalizes the classical measurement model underlying the deprivation scale approach, allowing for heterogeneity and explicitly recognizing...

We examine heritability estimation of an ordinal trait for osteoarthritis, using a population of pig-tailed macaques from the Washington National Primate Research Center (WaNPRC). This estimation is non-trivial, as the data consist of ordinal measurements on 16 intervertebral spaces throughout each macaque's spinal cord, with many missing values. We examine the resulting heritability estimates ...