Measurement Causal Inference Bootcamp

This module introduces some jargon for discussing the data we will analyze, and discusses the important problem of

Title:

In this module we analyze some data from the Perry Preschool experiment. We look at the

Here we review all the

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

Which change drove which metric? Detecting effects while rolling out multiple experiments can be difficult. Experimentation allows ...

This module discusses the importance of counterfactuals in

This module discusses the first step in a data analysis: describing your data. The

This module introduces the concepts of the distribution of treatment effects, and the average treatment

We've seen some examples of RDD, but how do we actually formally compute

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

In this three part sequence of modules we explain how you could actually compute LATE from a real dataset. Part of Duke ...

Here we describe the main idea behind instrumental variables analysis. Part of Duke University's

In this module we do an intention-to-treat analysis of the

This module discusses the problem of finding data for natural experiments.