• Offered by Centre for Aboriginal Economic Policy Research
  • ANU College ANU College of Arts and Social Sciences
  • Course subject Social Research
  • Areas of interest Social Research
  • Academic career Postgraduate
  • Mode of delivery Blended
  • Offered in Spring Session 2017
    See Future Offerings

This course will provide students with a range of analytical techniques that can be used to answer policy and service delivery questions and how to measure the impact of policy. It will cover four key aspects of policy evaluations
- Causation: Did the program or policy have a direct impact on the outcome or outcomes of interest?
- Attribution: What was it about the program or policy that led to that impact?
- Implementation: What can be learned about how was the program or policy delivered?
- Documentation: How can key aspects of the evaluation be reported to an academic and policy audience?

Learning Outcomes

Upon successful completion of this course, students will have the knowledge and skills to:

1. Explain issues of causal inference and attribution.
 
2. Specify a research question related to policy evaluation that is answerable using empirical methods.
 
3. Communicate and critique existing policy evaluations in a rigorous manner.
 
4. Understand the assumptions, strengths and limitations of the main techniques for evaluating policies.
 
5. Use statistical software for applying impact evaluation techniques.
 
6. Conduct empirical research using modern econometric techniques for policy evaluation.
 

Indicative Assessment

Class participation (5%) LO1-6
Assignment 1 - Critique of selected policy evaluation (1,500 words, 15%) LO3,4
Assignment 2 - Research evaluation using real-world data (3,500 words, 35%) LO2,4,5, 6
Oral presentation - Policy brief from evaluation (10 minutes, 20%) LO4,5,6
Class test (2 hours, 25%) LO1,4,6
 

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

130 hours of total student learning time made up from: a) 36 hours of contact over 12 weeks: made up of face-to-face lectures, tutorials and online activities; and b) 94 hours of independent student research, reading and writing.

Requisite and Incompatibility

To enrol in this course you must be currently studying either Graduate Diploma of Applied Data Analytics (DADAN) or Master of Applied Data Analytics (MADAN).

Prescribed Texts

To be provided on the course Wattle site.

Indicative Reading List

Selected chapters from:
  • Glennerster, R., & Takavarasha, K. (2013). Running randomized evaluations: A practical guide. Princeton University Press.
  • Angrist, J. D., & Pischke, J. S. (2014). Mastering'metrics: The Path from Cause to Effect. Princeton University Press.

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Band 1
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2017 $3216
International fee paying students
Year Fee
2017 $4590
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Spring Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
9594 02 Oct 2017 20 Oct 2017 20 Oct 2017 01 Dec 2017 In Person

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