Causal inference

Introduction

📘 The Book of Why: Judea Pearl's most recent book on causal inference. The book explores the historical background of causal inference and Pearl's mathematical calculus for causal reasoning.
📽 On the path to causal inference my primer on causal inference, which explores an application of causal inference to conversion rate modelling on hotel websites (no mathematics involved). It is an application of Pearl's causal toolkit, but I also relate it to my experience with econometric methods and try to decompose the relationships in diagrams in ways that helped me to understand the toolkit.
🕸 Spurious Correlations: neat website for showing how correlation plots can show strong but absurd correlations between variables. Notice also how they are prevalent with time series data, which are prone to having a trend (what would be called a non-stationary process in econometrics).

Econometric methods are often used to discern causal relationships in systems that involve economic variables.