An AI-Powered Study Guide

Mastering Causal Metrics

A hands-on AI-powered study guide to Mastering Causal Metrics. Learn the foundations of causal inference with interactive Python notebooks and AI tools.

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Foundational Methods

Based on Mastering 'Metrics by Angrist & Pischke. Learn causal inference from randomized trials to differences-in-differences.

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Python Notebooks

Zero-installation Google Colab notebooks. Real datasets, working code, and complete implementations of every method.

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AI-Powered Learning

Multiple AI tutors with distinct pedagogical styles.

Curriculum

6 chapters organized around the five tools of causal inference

Part I — The Framework

01 Randomized Trials Open In Colab Watch Video

Part II — The Five Tools

02 Regression Open In Colab Watch Video
03 Instrumental Variables Open In Colab Watch Video
04 Regression Discontinuity Open In Colab
05 Differences-in-Differences Open In Colab Watch Video

Part III — Synthesis

06 The Wages of Schooling Open In Colab