Spring for 2017-2018
This course builds on the material covered in Statistical Methods for Development Policy by further developing the student’s understanding of the motivation for, and application of, statistical techniques to policy analysis in developing countries. The course introduces ordinary least squares regression models (OLS), the assumptions underlying OLS, and the consequences of violating those assumptions. The course also presents the treatment of limited dependent variables that don't lend themselves to OLS techniques. Students gain hands-on experience exploring policy questions using data and examples from developing countries, and a deeper understanding for how econometrics can be used to draw key policy insights. The course provides students with a framework for selecting an econometric model to evaluate policy, generating and interpreting results, and identifying the limitations of the model. PREREQUISITE: PPOL 506: STATISTICAL METHODS FOR DEVELOPMENT.
Credits: 3.0
Prerequisites: PPOL 531
More information
Look for this course in the schedule of classes.

The academic department web site for this program may provide other details about this course.