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In econometrics, one often gives a causal interpretation to estimated coefficients. Unfortunately, in most cases such causal interpretation is not warranted. In this course, we will focus on the difference between causality and correlation and study analytical approaches that aim for causal estimates. Techniques covered include randomized controlled trials / experiments, matching estimators, regression discontinuity design, difference-in-difference estimators, instrumental variable estimators, event studies, and synthetic control estimators. The course will cover both theory and applications using R.
Subject to approval of the Head of Department.
Students must attend one activity from each section.
Domestic fee $1,037.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see
Department of Economics and Finance