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Research School of Economics · ANU College of Business and Economics
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 will learn 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.
2h lecture + 1h tutorial in computer lab
Jérôme Adda, Russell W. Cooper “Dynamic Economics: Quantitative Methods and Applications”, MIT Press, 2003 Preliminary Reading Edward R. Tufte. The Visual Display of Quantitative Information. Graphics Press, 2001. R K Sundaram. A First Course in Optimization Theory. Cambridge University Press, 1996. Kevin Sheppard. Introduction to Python for Econometrics, Statistics and Data Analysis. KevinSheppard.com (August 05, 2014). https://www.kevinsheppard.com/images/0/09/Python_introduction.pdf Quantitative Economics online resource