This paper studies financial behaviors of households in China’s Beijing urban area. Demographic and psychometrical data were collected through questionnaire surveys and analyzed by logistic regression and Tobit regression methods. Several important factors which affect the willingness of the investigated households to participate in investment activities and their portfolio allocation decisions...

It is not unusual for the response variable in a regression model to be subject to censoring or truncation. Tobit regression models are specific examples of such a situation, where for some observations the observed response is not the actual response, but the censoring value (often zero), and an indicator that censoring (from below) has occurred. It is well-known that the maximum likelihood es...

The censored regression model and the Tobit model are standard tools in econometrics. This paper provides a formal asymptotic theory for dynamic time series censored regression when lags of the dependent variable have been included among the regressors. We derive fading memory properties of the model under the assumption that the regression error is strong mixing. We show the formal asymptotic ...

This study examines whether the perceived boundary between in-role and extra-role behaviors varies depending on workplace conditions, emphasizing how interactional justice influences an employee’s role definitions. We collect data through a questionnaire survey and adopt Tobit regressions for hypothesis testing. The study results indicate that perceived interactional justice enlarges the breadt...

This research develops a mixture regression model that is shown to have advantages over the classical Tobit model in model fit and predictive tests when data are generated from a two step process. Additionally, the model is shown to allow for flexibility in distributional assumptions while nesting the classic Tobit model. A simulated data set is utilized to assess the potential loss in efficien...