"Fuzzy" Regression Discontinuity: Addressing Blurry Lines Between Groups: Causal Inference Bootcamp

Sometimes the cutoff doesn’t perfectly determine whether you’re treated or not. We study this “fuzzy” setting here, and introduce an example of the effect of being Protestant (vs being Catholic) on various political preferences.
Part of Duke University's Causal Inference Bootcamp: watch modules on this topic and much more at modu.ssri.duke.edu

[@trickybarrel444]

your 10 min explanationis better than 2h lecture on my uni

[@fm109]

This is excellent work. The way this concept is delivered, truly hits on the essential concepts required to understand Fuzzy RD. Hope to see this channel update regarding causal inference further given how we have new updates from Cattaneo, Idrobo & Titiunik.

[@afzclic1497]

This video still helping someone in 2020. Thank you

[@ai7004]

It is a really nice series of lectures to accompany Angrist/Pischke book. Thank you!

[@alfredozuniga173]

bro your are a really good profesor

[@yomamasofat413]

Good clear simple explanation, good job!

[@hamayoonshah1990]

You are truly amazing... a hnsm man with brilliant mind

[@brenamelo]

Excellent explanation! Very clear, made it simple!

[@IMzz12]

Wonderful explanation! Thank you

[@ec.juanfranulcuangolee3294]

It is an interesting explanation about econometrics. Even though it could be better if it was showed by using the blackboard formulas and graphs to describe the inferences and causalities..

[@ABESW0RLD]

I love you bro

[@rafaelerwin]

I wonder if this research example faces an endogeneity problem since maybe personal traits have impacts on religion, on their policy attitude, and even to where they live given the agglomeration of religion. ？？

[@Andreeee75]

Did this guy just printed a huge graph?!

[@andrestevezm]

Good explanation. Terrible waste of paper .