4 - Causal Models

In the fourth week of the Introduction to Causal Inference online course, we cover causal models. Please post questions in the YouTube comments section.

Introduction to Causal Inference Course Website: causalcourse.com

0:00 Intro
0:16 The Identification-Estimation Flowchart
1:05 Outline
1:47 Intervening, the do-operator, and Identifiability
8:09 Causal Mechanisms and the Modularity Assumption
14:34 The Truncated Factorization
17:32 Another Perspective on “Association is not Causation”
19:17 The Backdoor Adjustment
29:01 Structural Causal Models (SCMs)
31:12 Revisiting Causal Mechanisms
33:33 Interventions in SCMs
34:43 Modularity Assumption for SCMs
36:02 M-Bias and Conditioning on Descendants of Treatment
40:45 A Complete Example with Estimation