Spring 2025 Political Science GU4722 section 001

QUANT METH 2 STAT THEO&CAUS INF

QUANT METH 2 STAT THEO&CA

Call Number 13419
Day & Time
Location
TR 4:10pm-5:25pm
To be announced
Points 4
Grading Mode Standard
Approvals Required None
Instructor Naoki Egami
Type LECTURE
Method of Instruction In-Person
Course Description

This course is the second course in the graduate-level sequence on quantitative political methodology offered in the Department of Political Science. Students will learn (1) a framework and methodologies for making causal inferences from experimental and observational data, and (2) statistical theories essential for causal inference. Topics include randomized experiments, estimation under ignorability, instrumental variables, regression discontinuity, difference-indifferences, and causal inference with panel data. We also cover statistical theories, such as theories of ordinary least squares and maximum likelihood estimation, by connecting them to causal inference methods. This course builds on the materials covered in POLS 4700 and 4720 or theirequivalent (i.e., probability, statistics, linear regression, and logistic regression).

Web Site Vergil
Department Political Science
Enrollment 21 students (30 max) as of 8:06PM Friday, December 6, 2024
Subject Political Science
Number GU4722
Section 001
Division Interfaculty
Note Co-requisite: POLS GU4723
Section key 20251POLS4722W001