R Computer Lab: 2SLS

Unlock the power of instrumental variables (IV) in R or Stata to address endogeneity and gain accurate, unbiased estimates in your analysis. This instructional video will guide you step-by-step through the process of setting up and applying instrumental variables to solve real-world issues where traditional regression falls short. Whether youโ€™re handling omitted variables, measurement errors, or reverse causation, IV techniques are essential for delivering trustworthy insights.

Weโ€™ll dive into practical examples, showing you how to implement instrumental variable analysis in both R and Stata, so you can follow along in the software of your choice. Youโ€™ll learn how to apply Two-Stage Least Squares in practice and interpret your IV results withย confidence. With clear instructions and expert tips, this video is designed to make a complex technique accessible, even for those new to econometrics.

Perfect for researchers, analysts, or anyone working with observational data, this video will equip you with the skills to tackle endogeneity challenges head-on. Get ready to enhance your analysis with instrumental variables and take your data insights toย theย nextย level.

Course Ratings

Margo PetersMasters Student
I have taken several statistics courses before, but none have explained the concept of Instrumental Variables as clearly as this one. The instructorโ€™s approach to simplifying complex ideas without compromising depth is exceptional. I now feel more confident in my data analysis skills.
Arjuna SinghPhD Candidate
The mix of theoretical insights and hands-on practice in this course was exactly what I needed. Itโ€™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.
Jessica RobertsData Scientist
I didnโ€™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. Iโ€™m now using the techniques I learned in my own research with great success.
Mark BrownPhD Candidate
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!
Zhong Sing YuStudent
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.
Zaid MahmoudData Scientist
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.
R Computer Lab: 2SLS

$17.00

Stata Computer Lab: 2SLS

$17.00

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