Mastering 'Metrics: The Path from Cause to Effect

by Joshua D. Angrist

Quantifying sampling uncertainty is a necessary step in any empirical project and on the road to understanding statistical claims made by others. We explain the basic inference idea here in the context of HIE treatment effects.