Official Description: Lecture—3 hours; discussion—1 hour. Prerequisite: Statistics 133 and a course in linear algebra or the equivalent. Least squares, instrumental variables, and maximum likelihood estimation and inference for single equation linear regression model; linear restrictions; heteroskedasticity; autocorrelation; lagged dependent variables. (Same course as Agricultural and Resource Economics 240A.)—II. (II.) 

Instructors: Oscar Jorda

Other info and comments: Here is the syllabus from 2011, the last time the course was taught by Oscar Jorda, and the course website from last year, when it was taught by a different professor.

Software used: Let us know in the comments

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