Economics: Advanced Econometrics

Covers advanced methods of empirical economic analysis including limited dependent variables, time series analysis and causal inference methods. Topics include randomized controlled trials, difference-in-differences, instrumental variables, regression discontinuity designs, and frameworks for causal reasoning such as directed acyclic graphs. Emphasis is placed on both theoretical foundations and applied data analysis, with applications to empirical research and policy evaluation. Prerequisite: ECON 2500 or ECON 3500.

Prereqs enforced by the system: ECON 3500; PACE students with permission and override. Instructor permission

This seminar is dedicated to reading, discussing and writing about academic research in economics. Much of the research we will study involves the formulation and testing of hypotheses using economic data and econometric tools. We will carry out econometric exercises in class. As such, econometrics is a prerequisite for the course.

This course is a seminar format. Students should expect to spend 6-8 hours a week on coursework outside of class, with additional time for the semester-long term paper.

Class participation, including presentation and discussion of articles is required. There will be several homework assignments. Finally, each student will write a term paper that demonstrates advanced understanding of economics.