Statistics Made Easy 5.7: Robust and Clustered Standard Errors

In this video, I explain the difference between robust and clustered standard errors, when to use them, and how to implement them in Stata. I also discuss the assumptions of homoscedasticity and independent observations, and what happens when these assumptions are violated.

For additional background reading on clustered standard errors, I recommend these papers:

You can download the datasets, additional explanations, and the Stata "Do Files" for the tutorial by following this link: