New model predicts positive outcomes with varying error terms.
The GB2REG Stata module helps analyze data by fitting a model that predicts a variable based on other factors. It uses a method called maximum likelihood with a special type of error term called a gb2. This error term can change depending on the factors being studied. By using this module, researchers can better understand how different variables affect the outcome they are interested in. The model requires that all values of the predicted variable are positive.