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Jason Abrevaya, Chair 2225 Speedway, Stop C3100, Austin, TX 78712 • Admin: 512-471-3211 & Advising: 512-471-2973

Fall 2008

ECO 363C • Computational Economics

Unique Days Time Location Instructor
34095 to 34100 Multiple Sections

Course Description

The course will emphasize creativity in projects rather than feedback on exams and will use a series of computer models to focus on economics. For example, there is a neural net model in Excel that is used to predict Ford stock prices; however, the student can modify the model to predict the price of Dell or Intel or any other stock. There is a dynamic personal financial model set up for a student who has a part time job but faces tuition and living expenses greater than his or her income. However, the student can borrow from student loan sources and credit cards to cover the shortfall. The model can be modified to cover college and post college years so the students can personalize it for their own situations. There are similar models on global warming, portfolio management, game theory, database systems and macroeconomic. In all of these areas the course provides a base model and help in modifying the model in directions that reflect the students' interests. Recently Princeton University Press published a book titled Computational Economics by Professor Kendrick along with and Dr. Ruben Mercado from Argentina and Prof. Hans Amman from the Netherlands. The associated web site for this book is at if you are interested to learn more about the course.


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