The dependent double-hurdle model is generalized by an inverse hyperbolic sine transformation of the dependent variable. The resulting specification features a flexible parameterization, accommodates heteroskedastic errors, and nests a range of common limited dependent variable models. Results...

The double-hurdle model with dependence is extended by incorporating the Box-Cox transformation. The model nests a range of popular limited dependent variable models, including the Gaussian double-hurdle, the generalized Tobit, and two-part models. Estimates of US beef consumption suggest that...