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/doordash-experimentation). 🔗 Slides by Yuan: https://rdd-demo.netlify.app/ 🔗 Code by Yuan: https://tinyurl.com/rdd-notebook 🔗 Regression and Matching https://www.youtube.com/watch?v=gUMhBkof7Ck 🔗 Difference-in-differences and Synthetic Control https://www.youtube.com/watch?v=KgfPTLqjUEE 📃 Yuan's blog post on causal inference https://www.yuan-meng.com/posts/causality/ 📚 References recommended by Yuan: Causal Inference for The Brave and True (Chapter 16): https://matheusfacure.github.io/python-causality-handbook/16-Regression-Discontinuity-Design.html The Effect (Chapter 20): https://theeffectbook.net/ch-RegressionDiscontinuity.html 🟢Get all my free data science interview resources https://www.emmading.com/resources 🟡 Product Case Interview Cheatsheet https://www.emmading.com/product-case-cheat-sheet 🟠 Statistics Interview Cheatsheet https://www.emmading.com/statistics-interview-cheat-sheet 🟣 Behavioral Interview Cheatsheet https://www.emmading.com/behavioral-interview-cheat-sheet 🔵 Data Science Resume Checklist https://www.emmading.com/data-science-resume-checklist ✅ We work with Experienced Data Scientists to help them land their next dream jobs. Apply now: https://www.emmading.com/coaching // Comment Got any questions? Something to add? Write a comment below to chat. // Let's connect on LinkedIn: https://www.linkedin.com/in/emmading001/ ==================== Contents of this video: ==================== 00:00 Introduction 00:20 Natural Experiments 00:54 Regression Discontinuity Design 10:03 Regression Discontinuity Implementation 16:33 Topic of Next Video