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Research School of Economics · ANU College of Business and Economics
This course provides an introduction to econometric methods and their applications. The main workhorse of applied econometrics is the linear regression model and the course will develop its theory and look at a wide range of applications. The course emphasizes intuitive and conceptual understanding as well as hands on econometric analysis using modern computer software on data sets from economics and business. Students learn how to conduct empirical studies, as well as how to analyze and interpret results from other empirical works. We cover a broad range of topics, including a brief review of basic statistics, ordinary least squares estimation and its properties, choice of functional form, departures from standard OLS assumptions, and time series analysis. This is a hand-on course with a focus on applications in economics as well as business. A standard statistical software will be used during computer sessions, no special programming skills are required.
Typical assessments may include but is not restricted to in-class exercises, written and oral assignments, quizzes, examinations, group project tasks, oral presentation, and other assessment deemed appropriate to show attainment of the learning outcomes set for the course. Further details will be made available via the Class Summary.
Learning outcomes 1, 2, 3, 4, 5, 6
Students taking this course are expected to commit at least 10 hours per week consisting of 2 hours of lectures, a 1 hour of computer tutorial and a 1 hour of problem solving tutorial as well as 6 hours of private study
see Class Summary and Wattle site