Econometric Methods III
Seminar
Main Campus
Course Description
This course continues the graduate first-year sequence in econometrics by reviewing and organizing core tools into a unified theoretical framework, with an emphasis on identification, asymptotic inference, and modern estimation methods used in empirical research. Topics may include identification and misspecification; asymptotic normality-based statistical inference; generalized method of moments and extremum estimation; discrete choice models; nonparametric regression (including regression discontinuity); and panel data and large-scale inference.
MGTECON 605
Units: 3
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Typically Offered
Not Available
Grading Basis
GSB Student Option LTR/PF
Class Level
Graduate School of Business
Instructional Mode
In Person
Gen Ed Requirement(s)
None
