Average Treatment Effects Causal Inference Bootcamp

There are so many different

This module introduces the concepts of the distribution of

There are so many different

Rohen Shah explains the vocabulary behind the

Correlation does not imply

Here we discuss all the key elements you'll see in regression tables, and how to read them. Part of Duke University's

In this module we look at the problem of using the findings of an experiment to help predict the

This module discusses the importance of counterfactuals in

We describe how scientists talk about the effect of treatments at the individual or unit level. The

Here we use an example dataset to show how

Correlation does not imply

When we try to find the effect of a

Professor Susan Athey presents an introduction to heterogeneous

"Finite-Sample Optimal Estimation and

In this module we do some intention-to-treat analysis of the Oregon experiment. We look at the effect of having the option to enroll ...

In this module we define the LATE parameter, something you'll see widely discussed in many instrumental variables analyses.

In this module we see instrumental variables in action as a solution to the noncompliance problem in the Oregon Health Care ...