Measurement Causal Inference Bootcamp

Measurement: Causal Inference Bootcamp

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

Tyler VanderWeele: Causal Inference and Measure Construction: Towards a New Model of Measurement

Title:

Perry Preschool: Measuring Lifetime Cost of Crime: Causal Inference Bootcamp

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

Basic Elements of a Regression Table: Causal Inference Bootcamp

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

Describing Data: Causal Inference Bootcamp

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

Computing LATE, Part 1: Dividing the Population: Causal Inference Bootcamp

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

Counterfactuals: Causal Inference Bootcamp

This module discusses the importance of counterfactuals in

Using Modeling When Experiments Are Impossible: Causal Inference Bootcamp

For many of the most important

How to Compute Causal Effects Using Regression Discontinuity: Causal Inference Bootcamp

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

Measuring Causality

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

ATEs, CATEs, and LATEs: What's the Difference?: Causal Inference Bootcamp

There are so many different

Introduction to the Causal Inference Bootcamp

What do we mean by saying something causes an effect to happen? The

Basics of Modeling Behavior: Causal Inference Bootcamp

To learn about

Average Treatment Effects: Causal Inference Bootcamp

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

Finding Data from Natural Experiments: Causal Inference Bootcamp

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

Statistical vs. Causal Inference: Causal Inference Bootcamp

This module compares