• Offered by Research School of Economics
  • ANU College ANU College of Business and Economics
  • Course subject Econometrics
  • Areas of interest Econometrics
  • Academic career UGRD
  • Course convener
    • AsPr Kailing Shen
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2022
    Second Semester 2022
    See Future Offerings

This course involves on campus teaching. For students unable to come to campus there will be a remote option. See the Class Summary for more details.

This course takes the theoretical econometric tools students have learned in other courses and teaches students how to apply those techniques to real world problems and data. The course focuses on the concept of causal inference and the different techniques used to causally identify the effect of treatments on outcomes. Using economic data and modern computer software, students learn how to conduct empirical studies by replicating well known econometric analyses. The techniques covered are: Regression Discontinuity Design, Panel Data Methods, Difference in difference analysis, Instrumental Variables, Synthetic Control, Bootstrapping and Randomisation Inference. 

Learning Outcomes

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

  1. explain econometric concepts such as causality, endogeneity, confounding factors, selection, and simultaneity;
  2. explain econometric techniques for estimating causal effects;
  3. investigate the properties of econometric techniques using Monte Carlo simulation;
  4. use statistical software to manage and analyse data;
  5. carry out an empirical analysis of data using the econometric techniques discussed.

Other Information

Indicative Assessment

  1. Assessment may consist of a Final Exam, mid-semester exam(s), quizzes, assignments or some combination thereof. See the Class Summary for details. (100) [LO 1,2,3,4,5]

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 in total over the semester consisting of lectures, tutorials and private study time.

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must have completed EMET2007. Incompatible with EMET8001.

Prescribed Texts

See Class Summary.

Majors

Fees

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

Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees

Student Contribution Band:
34
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found 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
2022 $4440
International fee paying students
Year Fee
2022 $5700
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4320 21 Feb 2022 28 Feb 2022 31 Mar 2022 27 May 2022 In Person N/A

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7450 25 Jul 2022 01 Aug 2022 31 Aug 2022 28 Oct 2022 In Person N/A

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