Regression Discontinuity Design and Instrumental Variables | Causal Inference in Data Science Part 4

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This is our last video of the mini course on application of Causal Inference in data science. We covered the complications of Regression Discontinuity Design in reality. We also talked about some other forms of natural experiment. At the end, Yuan shares a handful of resources for you to further study.

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Contents of this video:
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00:00 Introduction
1:08 Complications of RDD
7:08 Instrumental Variables
12:26 Summary
18:20 Resources
  1. Emma Ding
  2. causal inference
  3. data science
  4. regression discontinuity design
  5. Instrumental variables
  6. rdd
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Identification, Part 2: 0:03:08

Identification, Part 2: Regression Discontinuity

Regression Discontinuity Design 0:01:49

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Regression Discontinuity Design 0:21:55

Regression Discontinuity Design and Instrumental Variables | Causal Inference in Data Science Part 4

The Logic of 0:04:23

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Identification, Part 3: 0:04:39

Identification, Part 3: Instrumental Variables

Regression Discontinuity: Looking 0:09:18

Regression Discontinuity: Looking at People on the Edge: Causal Inference Bootcamp

Introduction to Instrumental 0:12:57

Introduction to Instrumental Variables (IV)

PMAP 8521 • 0:11:04

PMAP 8521 • (12) IV II + RDD II: (3) Fuzzy regression discontinuity

Causal Inference -- 0:21:46

Causal Inference -- 13/23 -- Regression Discontinuity Basics

7.1.3.1 Sharp Regression 0:03:38

7.1.3.1 Sharp Regression Discontinuity

Lecture 15 1:12:54

Lecture 15 Regression Discontinuity

Regression Discontinuity Design: 0:04:09

Regression Discontinuity Design: A Powerful Tool for Impact Evaluation

PMAP 8521 • 0:19:41

PMAP 8521 • (10) Regression discontinuity I: (3) Main RDD concerns

Regression Discontinuity Design 1:17:01

Regression Discontinuity Design

Quasi-Experiments: Instrumental Variables 0:08:37

Quasi-Experiments: Instrumental Variables

Data Science Research 1:06:35

Data Science Research Methods: Regression discontinuity design

PMAP 8521 • 0:02:41

PMAP 8521 • (10) Regression discontinuity I: (0) Introduction

Regression discontinuity design 0:22:13

Regression discontinuity design

Fuzzy Regression Discontinuity 0:08:54

Fuzzy Regression Discontinuity (RD) Explained

Causality: Instrumental Variables 0:11:26

Causality: Instrumental Variables

Regression Discontinuity Design 0:13:29

Regression Discontinuity Design (RDD) - Part 1

PMAP 8521 • 0:12:43

PMAP 8521 • (11) Instrumental variables I: (1) Endogeneity and exogeneity

Lecture 21: Endogeneity 1:09:22

Lecture 21: Endogeneity and Instrument Variables

Комментарии
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wow honestly, one of the easiest & most practical way to learn casual inference. Thank you Emma and Yuan.

jinsoochung
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Emma, I have to say the work you do is simply amazing. I’m working on my master degree’s thesis, which is on causality, and these videos with Yuan have been beyond helpful - not to mention that I owe you the last job I got, as I watched your channel day and night when I was preparing for the interviews :) congrats and keep up with the good work!

eitoruchan
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This is great content! I know it's pretty hard for us non-native speakers, but I notice there're a lot of filling words which impact the flow of learning. If this can be improved this video will be awesome!

evasun
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I didn't quite get making the birth season as the IV for school year, why don't we use a binary variable as finished high school or not instead? A bit confused on why we need a IV here and what does "reduced form", "1st stage" mean in the formula?

karad.
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Hi! All of your videos are super helpful. Could you please make a video on the incremental effects of marketing interventions?

Stanmay