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Visual Logic of Instrumental Variables: Causal Inference Bootcamp 

Mod•U: Powerful Concepts in Social Science
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Here we consider the main idea behind instrumental variables analysis again, from a different perspective. We also discuss how this method works in practice.

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5 окт 2024

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Комментарии : 12   
@bettyaugust5623
@bettyaugust5623 2 года назад
A lecturer that talks in a human way without unnecessary termology and actually explains concepts in a concise manner - THANK YOU FOR THIS SERIES!
@snoringinseattle
@snoringinseattle 3 года назад
I am a UNC graduate student and I've been trying to grasp this concept from many different sources. This is the clearest of them all. I'm finally confident that I understand what iv is. Thank you professor!
@thonghuynh7962
@thonghuynh7962 3 года назад
The best lecturer I ever had
@lizou761
@lizou761 2 года назад
Very nice video! Another great book on this topic is "Mastering Metrics.“ Thanks
@oliviat978
@oliviat978 3 года назад
Awesome examples. Thanks so much!
@camilafloressanhueza7966
@camilafloressanhueza7966 6 лет назад
Extremely helpful!!! Thank u very much
@arunaugustine568
@arunaugustine568 7 лет назад
Super helpful video!!!
@joelrick1629
@joelrick1629 3 года назад
Awesome work !
@diegomabrary4974
@diegomabrary4974 5 лет назад
I think there are two points that I am not agree with. One: randomize Instrument variable only remove the arrow from the confounders to Instrument, does not remove the backward dir. Two: Instrument variable does have some causal effect on the outcome, but not directly impact on the outcome. @author
@xavsaboss
@xavsaboss 11 месяцев назад
nice trim
@googledude5649
@googledude5649 5 лет назад
So the errorterm in this case is the pre-treatment variables ?
@LosMengers
@LosMengers 7 лет назад
¿Qué canción usan al inicio de sus videos?
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