We introduce a long-memory dynamic Tobit model, defining it as a censored version of a fractionally-integrated Gaussian ARMA model, which may include seasonal components and/or additional regression variables. Parameter estimation for such a model using standard techniques is typically infeasible, since the model is not Markovian, cannot be expressed in a finite-dimensional state-space form, an...

The usual decomposition of effects in corner solution models into extensive and intensive margins is generally incompatible with a causal interpretation. This paper proposes a decomposition based on the joint distribution of potential outcomes which is meaningful in a causal sense. The difference between decompositions can be substantial and yield diametrically opposed results, as shown in a st...

In this paper I propose a computationally practical simulation estimator for large categories of the dynamic panel Tobit model with complicated dependence structures. I first apply the sequential decomposition methods introduced by Hendry and Richard (1992) to obtain the tractable simulated log-likelihood function of the dynamic panel Tobit model. I then maximize this log-likelihood function si...

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...

Of twenty-three agricultural economics conjoint analyses conducted between 1990 and 2001, seventeen used interval-rating scales, with estimation procedures varying widely. This study tests cardinality assumptions in conjoint analysis when interval-rating scales are used, and tests whether the ordered probit or two-limit tobit model is the most valid. Results indicate that cardinality assumption...