PLCY610
Quantitative Analysis of Policy Issues
3 Credit(s)
Introduces statistical methods needed for evaluating and choosing among policy options. Topics include probability; decision-making under uncertainty; the organization, interpretation, and visual display of complex data; prediction and inferences about causality; hypothesis testing; and linear and multiple regression. Develops analytical skills and the ability to apply theory to complex, real-world problems.
Schedule of Classes
Faculty:
Michael Busse