Learn Econometrics

A structured econometrics course designed for students who want to move from intuition to applied empirical research.

Welcome to Learn Econometrics

This website offers a guided introduction to econometrics, beginning with core concepts such as variables, regression, and statistical inference, and progressing to panel data methods, causal inference, instrumental variables, difference-in-differences, regression discontinuity design, matching methods, synthetic control, and machine learning in econometrics. The course is organized into modules, lessons, and exercises to help students build both conceptual understanding and applied research skills.

Who this course is for

Undergraduate students in economics and related fields
Master’s students beginning applied econometrics
Researchers who want a structured refresher
Learners interested in regression, causality, and empirical methods

Course structure

Part I – Foundations

Foundations of Econometrics, Regression Basics, Statistical Inference, Problems and Bias.

Start with part I

Part II – Core Models

Limited Dependent Variable Models, Data Types, and Panel Data Methods.

Start with part I

Part III – Causal Inference

Causal Inference Basics, Experimental Methods, IV and 2SLS, DiD, RDD, Matching, and Synthetic Control.

Start with part I

Part IV – Advanced Topics

Machine Learning in Econometrics, Reading Regression Output, and Research Design Workshop.

Start with part I

This website is currently under development and is scheduled to launch in July 2026.

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