Spring 2010 Course Description

Advanced Empirical Methods for Policy Analysis

Section Title: Advanced Applied Regression
Instructor(s): Jay Zarnikau
Course: P A 397C - Advanced Empirical Methods for Policy Analysis
(previously Applied Quantitative Analysis II)
Unique Number: 62720
Day & Time: Thursdays, 6:00 PM - 9:00 PM
Room: SRH 3.122
Waitlist Information:For LBJ Students: UT Waitlist Information
Notes: Cross List with SSC 385

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

Description: This class will explore how various regression modeling techniques can be used to study practical problems and issues in the social sciences and public policy.

The focus of this class is on statistical modeling concepts and how to analyze different problems and data sets. Little attention will be devoted to formal proofs and derivations.

The content of this course will be very similar to an introductory Econometrics course, but we will use less mathematics than is typically used in the Economics Department. The course material is very similar to (and goes a bit beyond) the second half of the Statistics course that MBA students are required to complete.

Course topics will include:

Upon completing this course, students should be able to read, understand, critically interpret, and identify the strengths and limitations of many statistical studies encountered in policy reports and in the literature of the social sciences. The student should also be able competently analyze data sets using common statistical techniques.

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