I am estimating a model where the outcome variable is continuous, more specifically a percentage in the form of a 0 to 1 range. This variable has one potential problem: many of its cases equal zero (around 40%). Since it is not a count variable, I cannot employ a Poisson zero-inflated model. I have been searching for the appropriate technique to handle the problem, and found out that probably the most indicated would be the so called two-part model estimation - which is pretty much the joint application of a logit and a truncated estimation.
However, I would like to check with you all:
- If there are also other options when we do have a continuous / percentage outcome variable that is zero-inflated.
- How can I run a two-part model in R? I've found a few suggestions online, like the hurdle package. But none actually seem to work with continuous outcomes.