Future Post Machine Learning for Causal Inference: Synthetic Control and Double Machine Learning
Published:
This post is inspired by Frank Diebold’s
Posts by Tags
Causality
Simpson’s Paradox is a Special Case of Omitted Variable Bias
Published:
The goal of this post is to illustrate a point made in a recent tweet by Amit Ghandi that Simpson’s Paradox is a special case of omitted variable bias.
Econometrics
Future Post Machine Learning for Causal Inference: Synthetic Control and Double Machine Learning
Published:
This post is inspired by Frank Diebold’s
Simpson’s Paradox is a Special Case of Omitted Variable Bias
Published:
The goal of this post is to illustrate a point made in a recent tweet by Amit Ghandi that Simpson’s Paradox is a special case of omitted variable bias.
Machine Learning
Future Post Machine Learning for Causal Inference: Synthetic Control and Double Machine Learning
Published:
This post is inspired by Frank Diebold’s
Statistics
Future Post Machine Learning for Causal Inference: Synthetic Control and Double Machine Learning
Published:
This post is inspired by Frank Diebold’s
Simpson’s Paradox is a Special Case of Omitted Variable Bias
Published:
The goal of this post is to illustrate a point made in a recent tweet by Amit Ghandi that Simpson’s Paradox is a special case of omitted variable bias.