Despite a number of significant advances in count data modeling during the last two decades and the growing popularity of these models in recreation demand analysis, standard count data models are inadequate to address the fast decay process of the dependent variable and the associated long...

Based on 1992 US National Survey of Veterans, we analyzed the nature of veterans' inpatient and outpatient health care utilization by estimating a count data two-part hurdle model. We also identified factors that affect veterans' choices between VA and non- VA health care facilities, using a...

Applications of zero-inflated count data models have proliferated in empirical economic research. There is a downside to this development, as zero-inflated Poisson or zero-inflated Negative Binomial Maximum Likelihood estimators are not robust to misspecification. In contrast, simple Poisson...

This article investigates power and size of some tests for exogeneity of a binary explanatory variable in count models by conducting extensive Monte Carlo simulations. The tests under consideration are Hausman contrast tests as well as univariate Wald tests, including a new test of notably easy...

Most existing empirical evidence on the impact of profit taxation on multinational firm activity is based on cross-country data. One major drawback of such data is that countries differ not only with regard to taxes but along other dimensions which might be hard to capture by means of observable...