General links
syllabus
readings
R resources: [basic intro] [online workshop] [another primer]
mahalanobis distance notes
iterating expectations notes
blog post on multivariate balance testing
notes on variance
Lecture slides
1 identification
2 estimation & inference
3 regression mechanics
4 regression and causal effects
5 notions of bias I
6 notions of bias II
7 matching & weighting for causal effects
8 robust inference I (clustering)
9 robust inference II (bootstrapping)
10 instrumental variables I
11 instrumental variables II
12 repeated observations I
13 repeated observations II [r simulation code] [canonical example of RE vs. FE]
14 regression discontinuity I
15 regression discontinuity II
16 quantile regression [r code to make graphs]
17 multiple endpoints [r code for inv. cov. weighted index]
18 missing data
19 treatment effects with limited dependent variables I
20 treatment effects with limited dependent variables II
21 odds and ends
Homework assignments
Homework 1: assignment data example simulation
Homework 2: assignment data
Homework 3: assignment
Homework 4: assignment dataset codebook R code for prep MatchIt manual MatchIt website
Homework 5: assignment rep materials for #1
Homework 6: assignment rep materials for #2 .do for complier gender
Homework 7: assignment rep materials forcing variable sorting test
Homework 8: assignment rep materials anes data
