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Research School of Economics · ANU College of Business and Economics
This course builds on the theoretical econometric tools students have learned in other courses, teaching them how to properly use these tools to address economic questions using real data. It begins with data set evaluation and research design, then examines the pros and cons of various causal identification techniques, such as difference-in-differences, regression discontinuity, panel data methods, and instrumental variables. Both classic and recent academic journal articles will be used to investigate how various econometric tools are incorporated with data to examine economic questions.
Assessment may consist of a Final Exam, mid-semester exam(s), quizzes, assignments or some combination thereof. See the Class Summary for details.
Learning outcomes 1, 2, 3, 4, 5, 6
130 hours in total over the semester consisting of lectures, tutorials and private study time. (130 hours in total)
See Class Summary