Causal Inference -- 3/23 -- Instrumental Variables Basics I

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This series of online lectures covers the most important causal research designs in economics and other social sciences. This is the first of five videos on instrumental variables. The video introduces the idea behind this important technique.

The course is based on two textbooks:

Course outline:

1 Basics of causal inference (2 videos)
2 Instrumental variables (5 videos)
3 Marginal treatment effects (4 videos)
4 Regression discontinuity and kink designs (4 videos)
5 Difference-in-differences (5 videos)
6 Synthetic control (2 videos)

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Ben, you single-handedly helped me pass my econometrics MSc course. I watched all videos after being referred by Loise, and it made much more sense than the in-class lectures. You're the man!

jonathanolsson
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Fantastic explanations, Ben! This is pure gold! Thank you!

federicoguerrero
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Dear Professor
I enjoy your lectures. It really helps me a lot.

arcsine
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Dear Professor,

I am a student studying econometrics in South Korea. Specifically, I am interested in topics related to instrumental variables (IV). Your online lectures are wonderful sources for studying causal inference, and I truly appreciate them!

I have a question about the exclusion restriction. In one of your slides, you mentioned that this assumption is untestable. I’ve come across many lecture materials stating the same. However, in Hansen’s econometrics textbook, I found an overidentification (Sargan-Hansen) test, which sets the null hypothesis as an exclusion restriction. I’m curious if it is possible to test the exclusion restriction using the overidentification test. I don’t quite understand the difference between the two tests.

Thank you!

philhwang
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Mr Elsner
i have a question please; why the instrument does not have a direct causal effect on the outcome. In other words, what is the results of violation of this assumption (exclusion restriction assumption).
Thank you in advance.

faridhaboudane