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

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

Mar 09, 202021 min
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Episode description

When you need to untangle cause and effect, but you can’t run an experiment, it’s 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.
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Causal inference when you can't experiment: difference-in-differences and synthetic controls | Linear Digressions podcast - Listen or read transcript on Metacast