Intermediate Econometrics I
Lecture
Main Campus
Course Description
This is the first quarter of the graduate econometrics sequence. The course organizes and introduces econometrics along the themes of description, prediction, causal inference and decision-making. Students will develop familiarity with linear regression, basic statistical inference and the fundamentals of causal inference, and also gain exposure to concepts from machine learning.
ECON 270
Units: 2–5
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Typically Offered
Not Available
Grading Basis
Letter or Credit/No Credit
Class Level
Graduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None
