• Offered by Research School of Economics
  • ANU College ANU College of Business and Economics
  • Course subject Economics
  • Areas of interest Economics
  • Academic career Undergraduate
  • Course convener
    • Fedor Iskhakov
  • Mode of delivery In Person
  • Offered in Second Semester 2018
    See Future Offerings

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.

Learning Outcomes

  • Basic programming skills (conditions, loops, flow control, iteration, etc.)
  • Ability to implement familiar mathematical methods on a computer
  • Reinforcement of key ideas from economic analysis
  • Algorithm and data manipulation and visualization of economic data

Indicative Assessment

Individual test-assignment with feedback (by week 4)
Midterm exam (40%)
Final exam (60%)
 

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Workload

2h lecture + 1h tutorial in computer lab
 

Requisite and Incompatibility

To enrol in this course you must have previously completed ECON2125 or equivalent. Incompatible with ECON4414 and ECON8014

Prescribed Texts

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.
 

Indicative Reading List

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
 

Assumed Knowledge

General knowledge of math and basic economics.
 

Majors

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:
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
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
7556 23 Jul 2018 30 Jul 2018 31 Aug 2018 26 Oct 2018 In Person

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