- Code ECON4414
- Unit Value 6 units
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%)
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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
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- Student Contribution Band:
- Unit value:
- 6 units
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