ECON515
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ECON515 - Econometrics and Machine Learning
Course Description
This course explains the fundamental trade-off in prediction: The Estimation uncertainty versus Misspecification of the Conditional Expectation. We use parsimonious models and machine learning to deal with this trade-off. The course emphasizes understanding and intuition so that you can adjust the tools to new quantitative problems that you may encounter. This distinguishes the course from an undergraduate course or an `econometric cookbook' course.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Enrollment Requirements
019271
Name
Lecture
Workload Hours
3
Optional Component
No
Typically Offered Main Campus
Spring
Typically Offered Distance Campus
Not Offered
Typically Offered UA Online Campus
Not Offered
Typically Offered Phoenix Campus
Not Offered
Typically Offered South Campus
Not Offered
Typically Offered Community Campus
Not Offered