# Announcements and Resources
– Syllabus (always under construction)
– Cyrus office hours sign-up
– No class on the following dates (check back for updates):
– Tue, Feb 18.
– Wed, Feb 26.
– Midterm (in class): Wed March 19
– Final (take home): Wed May 7-Wed May 14 (Final exam period).
– Sign-up sheet: (to be posted)
– Sylvan’s recitations:
– Thu 10am-12pm Rm 212
– Materials: [link]
# Lecture Slides
## Causal Identification and Statistical Inference Foundations
– 1 introduction to causal effects and mechanisms [pdf]
– 2 a primer on causal identification analysis with potential outcomes and DAGs [pdf]
– 3 a primer on design-based statistical inference for descriptive quantities I [pdf]
– 4 design-based statistical inference for descriptive quantities II [pdf]
– bootstrap examples: [R code]
– 5 design-based statistical inference for causal quantities [pdf]
## Observational Identification Strategies
– 6 conditioning to identify causal effects [pdf]
– 7 multiple regression [pdf]
– 8 matching and weighting [pdf]
– 9 instrumental variables basics [pdf]
– 10 instrumental variables extensions [pdf]
– 11 front door criterion [pdf]
– 12 difference in differences for a single event [pdf]
– 13 difference in differences for multiple events [pdf] [simulation PDF]
– 14 synthetic control for one treated unit [pdf]
– 15 generalized panel imputation methods [pdf]
– 16 regression discontinuity introduction [pdf]
– 17 regression discontinuity extensions [pdf]
## Designing Experiments
– 18 experimental design introduction [pdf]
– 19 complex experimental designs [pdf]
## Beyond Average Treatment Effects
– 20 moderation and mediation effects [pdf]
– 21 interference and spillover effects [pdf]
– 22 multiple comparisons [pdf]
– 23 missing data [pdf]
# Homework Assignments
– Homework 1 (due February 5): [assignment pdf]
– Homework 2 (due February 27): [assignment pdf] [replication files]
– Homework 3 (due April 15) [assignment pdf] [replication materials]
– Homework 4 (due April 29) [assignment pdf] [replication material]
