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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)
Get in touch:
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)
Get in touch:
Causal Inference -- 3/23 -- Instrumental Variables Basics I
Causal Inference -- 6/23 -- Local Average Treatment Effect II
Causal Inference -- 23/23 -- Synthetic Control II
Causal Inference -- 2/23 -- Basics of Research Design II
Causal Inference -- 1/23 -- Basics of Research Design I
Causal Inference - Intro to Descriptive Statistics
How to learn causal inference on your own for free [2024]
Causal Inference -- 4/23 -- Instrumental Variables Basics II
Causal Inference -- 5/23 -- Local Average Treatment Effect I
14. Causal Inference, Part 1
posit::conf(2023) Workshop: Causal Inference with R
Designing Research (The Effect: Videos on Causal Inference, Ep 1)
Causal Inference -- 20/23 -- Staggered Adoption: The Bacon Decomposition
Causal Inference -- 8/23 -- Marginal Treatment Effects (MTE) Basics
1.3 - Correlation Does Not Imply Causation and Why
One-to-one Matching on Confounders Using Python Package Causal Inference
1 - A Brief Introduction to Causal Inference (Course Preview)
3 - The Flow of Causation and Association in Graphs (Week 3)
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Causal Inference Course (Day 3)
Causality: An Introduction | How (naive) statistics can fail us
Causal Inference with Machine Learning - EXPLAINED!
Statistics & Causal Inference: Neyman & Fisher
Causal Effects | An introduction
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