Fall 2014 - 62864 - PA397C - Advanced Empirical Methods for Policy Analysis
|Instructor(s):|| Heinrich, Carolyn
|Day & Time:||M 9:00 am -12:00 pm|
|Waitlist Information:||For LBJ Students: UT Waitlist Information|
In addition to the Introduction to Quantitative Analysis course in the common core, MPAff students are required to take another three-hour course in quantitative analysis, selected from among a set of courses focusing on the application of quantitative theory and techniques to policy analysis. Topics offered vary from year to year but include econometrics, demographic techniques, systems analysis, simulation modeling, and quantitative indicator methods. As the second course in the two-course MPAff quantitative sequence, this course is intended to provide students with an in-depth understanding and hands-on experience with a specific quantitative method useful in policy analysis. This course is usually taken during the second semester of the first year.
This course is intended to provide students with essential statistical reasoning skills that will prepare them for more advanced empirical methods courses, as well as to impart basic programming skills with statistical software. Topics that will be covered include basic descriptive and inferential statistics, including population and sample distributions, hypothesis testing, contingency tables and more; basic concepts of bivariate and multiple regression, and an introduction to the generalized linear model. The textbook for the course, Applied Statistics for the Social and Health Sciences, incorporates statistical training and lessons in Stata and SAS, and the lectures and assignments will include the basics of programming with statistical packages. This course will emphasize the application of statistical reasoning in conducting research, consuming research and policy analysis and decision making.