Causal Inference: Selection on Observables (Part 3)

This video is the third part of the topic "Selection on Observables" in causal inference. Following is the time line and I suggest you try to focus on the IPW method, the proof is the optional one. This video focus on mainly the estimation method, and I wish you can then search the "M nearest matching" if you have strong interest. Because of the limited time of the video, I consider to put the proof of the average treatment effect in the next video, hopefully. 00:00 Discrete covariates and the curse of dimensionality 02:48 Intro to the continuous covariates 06:10 Estimation method: "Regression Adjustment" 11:21 Proof: Consistency of "Regression Adjustment" (Sum in the end) 19:38 Matching Method 24:08 M nearest neighbor matching I hope you partly enjoy this video and take what you need. Thank you for watching. In addition the reference list is in other videos and I put them in one playlist.