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Econometric Data Science: How Econometrics and Data Science Converge
Econometric data science merges economic theory with modern data methods to move beyond correlation toward causal inference and robust forecasting.
Causal Inference on Detroit Bureau.
Every article on Detroit Bureau about Causal Inference — 3 stories covering it, newest first.
Econometric data science merges economic theory with modern data methods to move beyond correlation toward causal inference and robust forecasting.
Learn how to conduct mediation analysis in R using the mediation package, with code examples for Baron and Kenny, causal mediation, and indirect effect testing.
A practical look at the foundational data science principles — from problem framing and experimental design to reproducibility and ethical bias — that separate robust analysis f...