Causal Inference Struggle | Difference in Means, Selection Bias, ATT, ATE:
In this video I talk about the breakdown of Difference in Means that is unobserved and may cause the estimate Difference in Means to be different than the true unobserved Average Treatment Effect.
Timestamps:
0:00 - Intro
0:33 - Review of Example from Last Time
1:04- Breakdown of Difference in Means into ATT and Selection Bias
3:58 - Example with only Observed data
4:23 - Why Causal Methods Want Selection Bias=0
