- Code IDEC8026
- Unit Value 6 units
- Offered by Crawford School of Public Policy
- ANU College ANU College of Asia and the Pacific
- Course subject International and Developmental Economics
- Academic career PGRD
- AsPr Blane Lewis
- Mode of delivery In Person
Second Semester 2020
See Future Offerings
All activities that form part of this course will be delivered remotely in Sem 2 2020.
This course is an introduction to rigorous and policy-relevant impact evaluation techniques for postgraduate students in economics and public policy. The course’s main emphasis is on evaluating the effect of a policy or a naturally occurring event on the economic and social well being of individuals who are exposed to the event. The course has a strong focus on applications – although students will be expected to fully understand the conceptual underpinnings of each technique.
Upon successful completion, students will have the knowledge and skills to:On completion of the course, students will:
1. Understand the reasoning behind and the rationale of major impact evaluation techniques.
2. Understand published empirical research on policy evaluation and critically assess the validity of causal claims in quantitative research.
3. Be able to determine the appropriate technique in order to rigorously evaluate the impact of an event.
4. Be equipped to apply those techniques in a real-world setting.
5. Be able to use statistical software for applying impact evaluation techniques.
6. Conduct empirical research using modern econometric techniques for policy evaluation.
Overall, at the end of the course, a student should have developed the skills needed to conceive, organize, conduct and present empirical research.
Research paper (50%), Stata problem sets (15%), referee report (20%), presentation (15%).
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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WorkloadLecture of 2 hours per week.
Tutorial of 1 hour per week, to train students in using Stata, a popular data analysis software.
Various academic journals, book chapters, and technical papers on relevant issues
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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