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Course Outline
Course Material
Assignments
Matrices - Concepts and Definitions
Introduction to R
Handout - R Intro
Part 1
The OLS Estimator
Part 2
OLS Part II
Part 3
OLS Part III
Part 4
Intro. to MC
Part 5
Single Hypothesis Testing
Part 6
Asymptotics and the IV Estimator
Part 7
Non-Spherical Disturbances
Part 8
Generalized Least Squares
Part 9
Intro to Time Series
Part 10
Intro to Maximum Likelihood
Part 11
Poisson Regression
Part 12
Testing Multiple Hypotheses
Midterm
R answers