This video is the third part of our mini course on application of Causal Inference in data science. We talked about the concept and implementation of Regression Discontinuity Design (RDD) via studying an example from DoorDash.

The refunding example in the video is inspired by a talk given by the Head of Analytics at DoorDash, Jessica Lachs (tinyurl.com/doordashexperimentation).

Slides by Yuan: https://rdddemo.netlify.app/
Code by Yuan: https://tinyurl.com/rddnotebook

Regression and Matching    • Regression and Matching | Causal Infe...  
Differenceindifferences and Synthetic Control    • Differenceindifferences | Synthetic...  

Yuan's blog post on causal inference https://www.yuanmeng.com/posts/causa...

References recommended by Yuan:
Causal Inference for The Brave and True (Chapter 16): https://matheusfacure.github.io/pytho...
The Effect (Chapter 20): https://theeffectbook.net/chRegressi...
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Contents of this video:
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00:00 Introduction
00:20 Natural Experiments
00:54 Regression Discontinuity Design
10:03 Regression Discontinuity Implementation
16:33 Topic of Next Video