This course is available for in-person and remote (online) learning.
This is a Master degree and PhD level course in applied economic dynamics, designed to introduce students to a range of concepts and techniques required for modelling and analysing economic problems. Topics include time-series econometrics, transitional dynamics, optimal control theory and recursive dynamic programming with applications to natural resource economics, ecological dynamics, macroeconomic dynamics and economic growth. In addition to pen-and-paper analysis, students will also use computers to solve common dynamic problems such as in finance planning, infectious disease simulation and optimal fishing problems.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Demonstrate mastery of knowledge and understanding of concepts, formalisms, and techniques that are commonly used to analyse dynamic structures in economics.
- Demonstrate competency with quantitative analytical skills required for intertemporal models.
- Plan, design, and execute common intertemporal policy analysis, simulation, and evaluation using computers.
- Demonstrate the capacity to apply the analytical methodology learned to real-world modelling and analysing dynamic problems in economics.
Indicative Assessment
- Three computer-based quizzes (15% each) (45) [LO 1,2,3,4]
- Final exam (55) [LO 1,2,3,4]
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 6 unit course workload is 130 hours including in class time and independent study.
Inherent Requirements
Not applicable
Prescribed Texts
See Wattle.
Assumed Knowledge
- Mathematics: High school algebra, derivative/integration calculus and optimizations.
- Econometrics: Simple OLS regressions.
- Computer: Excel. Alternatively, work in one of the following platforms will be accepted: Matlab, R, C, Mathematica, Maple, Python, Julia, Visual Basic, Stata, Eviews.
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 |
Course fees
- Domestic fee paying students
| Year | Fee | Description |
|---|---|---|
| 2022 | $4440 | Standard Rate |
| 2022 | $3510 |
Grandfathered Rate*
*continuing students in nominated programs only. See fee website |
- International fee paying students
| Year | Fee |
|---|---|
| 2022 | $5700 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
