Master Instrumental Variables with Practical Guidance and Ease

Propel Your Research Career with This Online, Intuitive, Self-Paced Course!

Stop wading through countless pages filled with confusing equations. This course is structured in such a way that even those with a limited math background can understand the concepts and apply them.

Learning Goals

Upon finishing a course on Instrumental Variables, you will be able to:

Understand the difference between correlation and causation as well as the underlying theory and assumptions of IV.
Identify suitable instrumental variables and assess the plausibility of the IV assumptions.
Estimate local average treatment effects using 2SLS with statistical software and interpret the results.
Critically evaluate published studies that use IV.
Design IV studies in real-world research settings.

Course content

12 modules • 1h 50m total length

Correlation vs Causation
Unmeasured Confounders
Reverse Causality
Randomized Control Trials
Quasi-Experimental Methods
IV – Intuition
Natural Experiments
Two Stage Least Squares
IV – Assumptions
Strengths and Weaknesses of IV
R COMPUTER LAB: 2SLS
Stata COMPUTER LAB: 2SLS

Who is This Course for?

Edooko courses are designed for those who have some grasp of statistics. Our courses are an ideal fit for:

Master students
Ph.D. candidates
Researchers
Policy makers
Data scientists
Anyone looking for training in quantitative methods.

The material covered in our courses is not intended for individuals who are new to statistics and data analysis. If you have some grasp of statistical concepts and are seeking to enhance your understanding of quantitative methods, then our courses are the perfect choice for you. However, if you are at the beginning of statistical training, you may find our courses to be challenging and are advised to start with more foundational coursework first.

Course Ratings

I have taken several statistics courses before, but none have explained the concept of Instrumental Variables as clearly as this one. The instructor’s approach to simplifying complex ideas without compromising depth is exceptional. I now feel more confident in my data analysis skills.

The mix of theoretical insights and hands-on practice in this course was exactly what I needed. It’s one thing to understand the theory, but being able to apply it in real-world scenarios using Stata was invaluable. I highly recommend this course for anyone looking to deepen their knowledge of causal inference.

I didn’t expect a course on Instrumental Variables to be so engaging! The clear examples, real-life applications, and well-structured lessons kept me motivated throughout. I’m now using the techniques I learned in my own research with great success.

I was skeptical about how much I would be able to learn in a course without a strong math background, but this course exceeded my expectations. The instructors' clear explanations and intuitive approach made it easy to grasp the math concepts and apply them in my work. Thank you!

I was intimidated by the math-heavy courses on quasi-experimental methods, but the "Instrumental Variables" course was exactly what I needed. The intuitive approach made it easy to understand and now I feel confident in my ability to apply these techniques in my research.

As a data scientist, I struggled to understand quasi-experimental methods and how to apply them. This course not only provided a clear and concise overview of the concepts but also allowed me to practice using them in various scenarios. I feel much more prepared and confident in my abilities now.