EconML logo, with a sequence of rounded colored bars on the left, and the text "EconML" on the right in white

EconML

Estimate causal effects with ML

If You Are New to Causal Inference

Causal analysis is used to answer what-if questions. Unlike forecasting, which answers the question of what will happen next if everyone keeps behaving as they have in the past, causal inference answers the question of what would happen next if someone changes behavior, such as pursuing a new pricing strategy for a product or a new treatment for a patient. If you are new to causal inference, our guide will introduce you to the biggest challenges in answering causal questions, how EconML addresses those challenges, and the standard causal terminology we use throughout our SDK and documentation.

Have a Question in Mind?

If you are ready to start estimating, our flow chart (opens in new tab) can guide you to an appropriate estimation model for your question. Also check out our Case Studies for examples that apply these models to real world questions.