Spring 2010 Course Description

Advanced Empirical Methods for Policy Analysis

Section Title: Applied Econometrics for Policy Analysis
Instructor(s): Chandler Stolp
Course: P A 397C - Advanced Empirical Methods for Policy Analysis
(previously Applied Quantitative Analysis II)
Unique Number: 62725
Day & Time: Wednesdays, 9:00 AM - 12:00 PM
Room: SRH 3.122
Waitlist Information:For LBJ Students: UT Waitlist Information

This course fulfills requirements for the following specialization(s):

Description: This section of AEM is designed for masters and PhD students who wish to polish their skills in linear regression and gain a deeper understanding of the foundations of statistical inference, including some of the key competing theoretical perspectives and controversies that dominate current thought (sampling theory, likelihood theory, Bayesian theory). The approach taken in this section is somewhat more conceptual than that found in other sections, but is complemented throughout by an emphasis on applied statistical practice, especially in environments with "messy" data and/or in which substantive theory is weak–all of which are hallmarks of statistical work in public policy. Major themes in the course include:

Students are assumed to have been exposed to linear regression at the graduate level and to be willing to learn to work with summation notation and matrix algebra. Most of the statistical work in the course will involve using the SAS and Stata statistical packages.

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