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