- Code ECON4414
- Unit Value 6 units
- Offered by Research School of Economics
- ANU College ANU College of Business and Economics
- Course subject Economics
- Academic career UGRD
- Prof Fedor Iskhakov
- Mode of delivery In Person
- Co-taught Course
Second Semester 2020
See Future Offerings
All activities that form part of this course will be delivered remotely
This course will teach the basics of programming and computational skills for economic analysis and enable the students to take numerical approach to familiar mathematical problems. Students will learn to graphically represent familiar ideas such as supply and demand curves, equilibrium prices and consumer choice. They will explore how these choices and equilibria change with shifts in policy instruments, preferences and technologies. In the process they willlearn to use common computational solution methods, such as root finding and optimization. Students will also learn how to obtain, manipulate and represent data, using tools such as scatterplots and histograms.
Upon successful completion, students will have the knowledge and skills to:1. Basic programming skills (conditions, loops, flow control, iteration, etc.)
2. Ability to implement familiar mathematical methods on a computer
3. Reinforcement of key ideas from economic analysis
4. Algorithm and data manipulation and visualization of economic data
- Individual test-assignment with feedback (by week 4)
- Midterm exam (40%)
- Final exam (60%)
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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Workload2 hour lecture + 2 hour tutorial in computer lab
Requisite and Incompatibility
Prescribed TextsJérôme Adda, Russell W. Cooper “Dynamic Economics: Quantitative Methods and Applications”, MIT Press, 2003
Preliminary ReadingEdward R. Tufte. The Visual Display of Quantitative Information. Graphics Press, 2001
1. R K Sundaram. A First Course in Optimization Theory. Cambridge University Press,1996.
2. Kevin Sheppard. Introduction to Python for Econometrics, Statistics and Data Analysis
KevinSheppard.com (August 05, 2014)
3. Quantitative Economics online resource
Assumed KnowledgeGeneral knowledge of math and basic economics
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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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|8368||27 Jul 2020||03 Aug 2020||31 Aug 2020||30 Oct 2020||In Person||View|