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Graduate Programs

ECO2400H1F Econometrics I (PhD)

This course is devoted to a review of introductory mathematical statistics. Parameter estimation and hypothesis testing are discussed from both the Bayesian and classical standpoints. In the second half these techniques are applied to the standard linear regression model. While this course is primarily theoretically oriented, empirical implementation is addressed in computer homework assignments directed toward applied economic problems.

Section L9101, Fall 2020–21

Instructor: Yuanyuan Wan, Jiaying Gu
Day/time: M11-1,W11-1

Delivery Method & Instructions: (Online Asynchronous)
Online Asynchronous: Lectures will be pre-recorded for students to access at any time. All course activities, including office hours, will be conducted online.

TA: Christopher Ryan Dobronyi