# Announcements and Resources
– Syllabus (always under construction)
– Cyrus office hours sign-up
– No class on the following dates (check back for updates):
– Thu, Feb 8.
– Midterm: Thu March 14
– Final: Mon May 6-Tue May 14 (Final exam period).
– Sign-up sheet: [link]
– Dias’s recitations: [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]
## Canonical Observational Designs
– 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 with multiple events [pdf] [sim output]
– 14 synthetic control with one treated unit [pdf]
– 15 general 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 and design effects [pdf]
## Beyond Average Treatment Effects
– 20 moderation and mediation effects [pdf]
– 21 interference and spillover effects [pdf]
– 22 multiple outcomes and multiple comparisons [pdf]
– recent DI blog post with review of current methods: [link]
– missing data [pdf]
# Homework Assignments
– Homework 1 (due February 15): [assignment pdf]
– Homework 2 (due February 29): [assignment pdf] [replication files]
– Homework 3 (due April 11): [assignment pdf] [replication files]
– Homework 4 (due April 29): [assignment pdf] [replication files]
