Hi everybody,

I would like to announce that thanks to Kit Baum, nehurdle is now available at SSC.

nehurdle is a command to estimate models where the dependent variable has a corner solution at 0 (see chapter 17 of Wooldridge (2010)) via maximum likelihood. It collects the three more popular models for such data: Tobit, Truncated hurdle, and Type II Tobit. It also allows for a linear or exponential specification of the value equation in all three models. Furthermore, it allows to model multiplicative heteroskedasticity in the value and selection equations in all three models (remember that in a Tobit model the selection and value equations are one and the same). The command also has its own predict functionality that makes prediction of the censored variable very easy, something that is crucial for these types of variables since the censored variable is the observed variable.

I have written an article that illustrates some of its functionalities and will be published in the Stata Journal in the near future. I hope the help files in the meantime allow you to work with it. Please let me know if you have any questions about the command.

Reference:
Wooldridge, Jeffery M. 2010. Econometric Analysis of Cross Section and Panel Data. 2nd ed. Cambridge, MA: MIT Press.