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This course will further your skills in practising econometrics, with an emphasis on cross-sectional (CS) and time-series cross-sectional (TSCS) data. The emphasis is on the 'front end' of research. That is, given data availability and a well-defined research question, what equation specifications/data transformations/econometric procedures should you employ to best address the research question? We will work out the 'front end' of 12 different research projects. You will be given (i) a research question and (ii) a description of a data set, and then have to decide how best to use that data to address the question.
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 randomised 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.
At the end of this course students will have stronger analytical skills which will be useful for careers in academia, business and policy. Students will be ableto analyse datasets using various advanced econometrics techniques including randomized controlled trials / experiments, matching estimators, regression discontinuity design, difference-in-difference estimators, instrumental variable estimators, synthetic control estimators and causal trees. to analyse datasets using the free R softwareto do better analysis of data and claims as they will have a better understanding of the strengths and limitations of data analysisto critically evaluate claims of causality, and hence, evaluate the strength of ‘evidence’to communicate their findings in a language understandable to people without much analytical background.
Subject to approval of the Head of Department.
ECON601
Tom Coupe
Domestic fee $943.00
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 .