An intuitive introduction to Regression Discontinuity

preview_player
Показать описание
When the circumstances are right, regression discontinuity can be an excellent way to extract causal estimates from observational data. In this video I give you a prototypical situation where RD is applicable and explain how it works. I also describe situations where the method fails and say a few words about fuzzy discontinuities.

Intended audience: Folks who have had some exposure to linear regression models, but want to learn more statistical methods.
  1. Doug McKee
  2. Regression Discontinuity
  3. econometrics
  4. statistics
Рекомендации по теме
An intuitive introduction 0:06:03

An intuitive introduction to Regression Discontinuity

Video 1: Introduction 0:13:29

Video 1: Introduction to Simple Linear Regression

An intuitive introduction 0:12:49

An intuitive introduction to Difference-in-Differences

An intuitive introduction 0:19:11

An intuitive introduction to Instrumental Variables

Classification and Regression 0:02:48

Classification and Regression in Machine Learning

Linear Regression, Clearly 0:27:27

Linear Regression, Clearly Explained!!!

An intuitive introduction 0:17:06

An intuitive introduction to Propensity Score Matching

Introduction to residuals 0:04:49

Introduction to residuals and least-squares regression | AP Statistics | Khan Academy

An introduction to 0:04:43

An introduction to quantile regression

Tutorial 27- Ridge 0:20:17

Tutorial 27- Ridge and Lasso Regression Indepth Intuition- Data Science

What is Econometrics? 0:02:34

What is Econometrics? An intuitive meaning

An Intuitive Introduction 1:52:46

An Intuitive Introduction to Machine Learning: Regression and Correlation

An Intuitive Introduction 1:19:46

An Intuitive Introduction to Machine Learning - Neel Nanda - The Archimedeans

intuitive regression 0:43:06

intuitive regression

Gilbert Strang: Linear 0:02:14

Gilbert Strang: Linear Algebra vs Calculus

Chapter 10.4: Multiple 0:09:49

Chapter 10.4: Multiple Linear Regression: Controlling for Variables - An Introduction

Regularization Part 1: 0:20:27

Regularization Part 1: Ridge (L2) Regression

Regression assumptions explained! 0:47:16

Regression assumptions explained!

Simple Linear Regression 0:06:18

Simple Linear Regression Formula, Visualized | Ch.1

An Intuitive Introduction 1:17:12

An Intuitive Introduction to Machine Learning

Intuitive Statsz - 0:29:52

Intuitive Statsz - Linear Regression I

Beginners Intro to 0:24:51

Beginners Intro to Linear Regression by Example (Intuitive)

An Intuitive Introduction 1:05:53

An Intuitive Introduction to the Multinomial Logit

Robust, Interpretable Statistical 0:27:58

Robust, Interpretable Statistical Models: Sparse Regression with the LASSO

Комментарии
Автор

Great explanation of RDD, thanks a lot.

SpaceDode
Автор

Hi. Thank you for this video. I have to apply RDD in a real life problem and I am not able to understand how to do it. Our intervention is a training program at district level which will help correct and more identification of a particular disease. This disease is defined by a value which is less than a particular no. Now my intervention will focus only on those individuals in the city who have value below that no and above that no will become our control. We will collect data on both baseline and endline for all invididuals in the district. I just know what my cut off point is. Rest is unclear.

pragjn
Автор

Excellent video! One question. What about splitting the data in to groups at the discontinuity and running e.g. anova or t test? Would that not allow for a similar interpretation?

seppschulz
Автор

Very helpful introduction! Thanks a lot :)

hhkchildhood
Автор

3:57 How does using the distance to cut off (x' = x - x0), as opposed to x, ensure that the two lines connect to each other if there's no effect?

enisten