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ECON 490 C3 - Topics in Economics - Numerical Methods in Economics

Campus: Urbana-Champaign


Special topics in advanced economics within a variety of areas. See course schedule for topics. Course Information: 3 undergraduate hours. 4 graduate hours. May be repeated in the same or separate terms to a maximum of 9 undergraduate hours or 8 graduate hours if topics vary. Prerequisite: ECON 202; ECON 302 or ECON 303; MATH 220 or MATH 221 or other Calculus course. Some topics may require additional prerequisites, read the section text for each topic.

Special Instructions:

**RESTRICTION INFO: https://go.economics.illinois.edu/SpringRestrictions **DESCRIPTION: Learn to combine the computational power of open source platforms and the inferential power of econometric methods to construct large scale datasets and do economic analysis on them. An intermediate knowledge of statistical and econometrics methods is required. Part 1: Students will construct large datasets from publicly available administrative healthcare, public health, and corporate finance data. Part 2: Students will apply standard econometric methods to these datasets. Students will also learn to apply some of the newly developed classification methods, such as random forests, and neural networks.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 3

Term(s): Spring


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