Empirical Law and Economics
This course is divided into two distinct but related portions: (1) training in statistical methods (focusing mainly on regression analysis) at the introductory and intermediate levels; and (2) applications to evaluating expert reports in a variety of litigation contexts and the quantitative legal academic literature. The first half of the course will cover most of the statistical methods students are likely to encounter in the practice of law, and they will have opportunities to practice using those methods through optional problem sets and other exercises. The second half will shift to statistical methods as they appear in briefs and supplemental reports submitted in employment discrimination, antitrust, and patent litigation. There are no prerequisites, and the course is designed for students without graduate or upper-level undergraduate training in statistics and econometrics. Although the first half of the course will be partially calibrated to enrolled students’ prior coursework, no background knowledge is necessary or assumed.
Please note that course organization and content may vary substantially from semester to semester and descriptions are not necessarily professor specific. Please contact the instructor directly if you have particular course-related questions.