[gov2001-l] Abstract: Merve and Chris

Hey Gov2001, Does anyone get a sense of what the relevant convex hull is when we impute missing data? Is the relevant convex hull the convex hall that arises from the entire set of imputed data, or is the crucial test if the counterfactual lies within the convex hull of each the imputed data sets? What if a counterfactual lies outside of the convex hull in some data sets (or is extreme by other measures) but is more reasonable in other imputed data sets? Obviously this latter question will be more likely if there is a great deal of variation between data sets. Also, how long should the whatif command take on a data set of about 4000 observations? Thanks and have a good night Justin