Practical deep-dives into causal inference, including difference-in-difference, fixed effects, doubly robust estimator, instrumental variable and regression discontinuity design, — the core topics every product data scientists needs to master.
Learn how to apply Two-Way Fixed Effects (TWFE) models to estimate interaction effects between product color and search queries. We cover the bias pitfalls of TWFE under staggered adoption and practical strategies for robust causal estimation in e-commerce settings.