Prerequisites: PBPL 100A with a grade of C- or better; restricted to class level standing of junior, or senior; 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.