Units: 4
Hours: Lecture, 3 hours; extra reading, 3 hours
Catalog page 589
Prerequisites: PBPL 060A with a grade of C- or better; or consent of instructor
Description: Introduction to the concept of sampling uncertainty and hypothesis testing required to establish causal inference. Explores inclusion of control variables in a multiple regression framework and why data generated from natural experiments and randomized control trials are valuable to policy analysts.