POLSCI 688 - Selected Topics in Political Science
Winter 2021, Section 004 - Causal Inference I
Instruction Mode: Section 004 is  Online (see other Sections below)
Subject: Political Science (POLSCI)
Department: LSA Political Science
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Details

Credits:
1.5
Advisory Prerequisites:
Graduate standing.
Repeatability:
May be repeated for credit.
Primary Instructor:

Description

This course is designed to introduce students to the social science and statistical literature on causal inference. Being a half-semester course, it necessarily provides selective coverage of key ideas in the voluminous literature on causation and causal inference. Topics to be covered may include, but are not limited to: the Neyman-Rubin framework for causal inference, regression-based methods, weighting methods, regression discontinuity designs, partial identification, and sensitivity analyses. Prerequisites are POLSCI 599 and POLSCI 699, the equivalent, or permission of the instructor. In addition, a good grasp of the R language for statistical computing will be extremely useful for the problem sets.

Intended Audience:

Graduate students in social science disciplines

Class Format:

Lecture

Schedule

POLSCI 688 - Selected Topics in Political Science
Schedule Listing
001 (SEM)
 Online
22032
Open
8
 
-
W 9:00AM - 12:00PM
003 (SEM)
 Online
34838
Open
10
 
-
W 3:00PM - 6:00PM
004 (SEM)
 Online
34843
Open
7
 
-
MW 2:30PM - 4:00PM
005 (SEM)
 Online
34844
Open
11
 
-
M 9:00AM - 11:00AM
007 (SEM)
 Online
35721
Open
11
 
-
M 2:00PM - 5:00PM
009 (SEM)
 Online
36288
Open
6
 
-
Tu 11:00AM - 12:30PM
010 (SEM)
 In Person
39780
Open
4
 
-
M 11:30AM - 1:30PM

Textbooks/Other Materials

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Syllabi

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CourseProfile (Atlas)

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CourseProfile (Atlas)