• Offered by Crawford School of Public Policy
  • ANU College ANU College of Asia and the Pacific
  • Classification Advanced
  • Course subject International and Developmental Economics
  • Areas of interest Economics
  • Academic career PGRD
  • Course convener
    • Dr Long Chu
  • Mode of delivery In Person
  • Offered in First Semester 2021
    See Future Offerings

This is a Master degree and PhD level course covering a range of topics in applied microeconomics. The course emphasises a series of research tools and applications with a focus on techniques for quantitative policy analysis. Applications include preference and welfare analysis, productivity and efficiency measures, partial and general equilibrium, management of open-access resources and non-market valuation. In addition to paper-and-pen exercises, students will use computers to perform analysis such as evaluating policy impacts with CGE models, optimal timing for infrastructure investments, comparing productivity of firms and estimating willingness-to-pay for ecological services

Learning Outcomes

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

  1. Be familiar with a wide range of the mathematical concepts, formalisms and techniques that are commonly used in applied microeconomics.
  2. Have confidence in the mathematical techniques required for modelling microeconomic problems for policy analysis and evaluation.
  3. Be able to perform common policy analysis and evaluation using computers.

Indicative Assessment

  1. Three online quizzes (non-redemptive 10% each), (30) [LO null]
  2. Mid-term exam (redemptive) (10) [LO null]
  3. Final exam. This course covers a lot of material in a short space of time. It is essential that you work consistently throughout the semester. Cramming just before the exam will bring disaster. (60) [LO null]

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

A standard course workload is 130 hours including in class time and independent study.

Inherent Requirements

Not applicable

Requisite and Incompatibility

Students must have successfully completed IDEC8016 and IDEC8029 to enrol in this course.

Prescribed Texts

See Wattle.

Assumed Knowledge

·  Mathematics: High school algebra, derivative/integration calculus and optimization.

· Statistics and Econometrics: Descriptive statistics and regressions.

· Computer: MsExcel skill is assumed. Students will be introduced to R (http://www.r-project.org) for statistical analysis. However, works in any of the following platforms will be accepted: Matlab, C, Mathematica, Maple, Python, Julia, Visual Basic, Stata, Eviews.

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:
3
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
2021 $2940
International fee paying students
Year Fee
2021 $4890
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
On Campus
2380 22 Feb 2021 01 Mar 2021 31 Mar 2021 28 May 2021 In Person N/A
Online
4544 22 Feb 2021 01 Mar 2021 31 Mar 2021 28 May 2021 Online N/A

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions