Podcasts Technology Linear Digressions Causal inference when you can't experiment: difference-in-differences and synthetic controls

Causal inference when you can't experiment: difference-in-differences and synthetic controls

Published: March 9, 2020, 1:39 a.m.

b'When you need to untangle cause and effect, but you can\\u2019t run an experiment, it\\u2019s time to get creative. This episode covers difference in differences and synthetic controls, two observational causal inference techniques that researchers have used to understand causality in complex real-world situations.'