Generous health-insurance coverage may encourage hospitals to acquire and employ more advanced medical technologies. The authors examine the effects of Taiwan's 1995 implementation of National Health Insurance on technology adoption, ownership, and use by comparing changes in adoption, ownership, and use rates by private hospitals with changes by public nonteaching and public teaching hospitals...

In this paper, Data Envelopment Analysis (DEA) and super efficient DEA (SE-DEA) are employed to measure the efficiency of Chinese commercial banks. Incorporating Tobit regression analysis, the determinants of banking efficiency are investigated based on Panel data. Overall, the DEA results show relatively low average efficiency levels and state-owned banks are more inefficient than that of join...

Our primary objective is to assess the role of culture by linking college students’ current consumption of fruits and vegetables with their produce consumption levels while with family. Using a Tobit model, we analyzed data from an online survey with college students. Family consumption of fruits was highly predictive of the individual’s consumption of fruits. For each unit increase in the repo...

Ownership structure and industry characteristics as internal and external factors respectively significantly impact the export performance of Chinese manufacturing firms. Three different yet related models, namely, logit, tobit and ordered probit models, that correspond to three different indicators of export performance are considered. It was found that the export performance of Chinese manufa...

Emergency events have been known more quickly and attained more attention than they did ever before. However, the public opinion on Internet usually exerts a heavy impact on the development of the emergency events as well as the social psychology. Aiming to provide a practical methodology for the management of Internet spread of emergency events, this paper presented a cycle model to describe t...

We use a dynamic panel Tobit model with heteroskedasticity to generate forecasts for large cross‐section of short time series censored observations. Our fully Bayesian approach allows us flexibly estimate the cross‐sectional distribution heterogeneous coefficients and then implicitly this as prior construct Bayes individual series. In addition density forecasts, we set that explicitly target av...

BACKGROUND For several immune-mediated diseases, immunological analysis will become more complex in the future with datasets in which cytokine and gene expression data play a major role. These data have certain characteristics that require sophisticated statistical analysis such as strategies for non-normal distribution and censoring. Additionally, complex and multiple immunological relationshi...