Introduction to Measurement Causal Inference Bootcamp
Exploring Measurement Causal Inference Bootcamp reveals several interesting facts. This module introduces some jargon for discussing the data we will analyze, and discusses the important problem of
Measurement Causal Inference Bootcamp Comprehensive Overview
Title: Often we want to know the effects of a policy on long term outcomes, like lifetime education or how long people live. Here we use an example dataset to show how
In this module we analyze some data from the Perry Preschool experiment. We look at the effect of going to preschool on the cost ...
Summary & Highlights for Measurement Causal Inference Bootcamp
- 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
- In this three part sequence of modules we explain how you could actually compute LATE from a real dataset. Part of Duke ...
- In this video, I introduce our next assumption:
- We've seen some examples of RDD, but how do we actually formally compute
Stay tuned for more updates related to Measurement Causal Inference Bootcamp.
