Econometrics

Data Analysis for Social Scientists

Learn econometrics for social science with this course from MIT! Taught by Duflo & Ellison, master data analysis techniques.

Analytics of Finance

Learn econometrics for finance with Prof. Kogan's "Analytics of Finance" course. Explore financial data analysis techniques.

Development Economics: Macroeconomics

Learn development macroeconomics with econometrics in this course by Prof. Robert Townsend. Explore key concepts & real-world applications!

Labor Economics and Public Policy

Learn econometrics for real-world labor market analysis with Prof. Angrist's "Labor Economics & Public Policy" course.

Applied Econometrics: Mostly Harmless Big Data

Learn applied econometrics and causal inference with big data techniques from MIT's Angrist & Chernozhukov.

Nonlinear Econometric Analysis

Learn nonlinear econometric analysis techniques from MIT professors Chernozhukov & Newey. Explore models and estimation methods for advanced econometrics.

Time Series Analysis

Learn time series analysis with Prof. Mikusheva's econometrics course. Explore models and techniques for forecasting and understanding data.

Econometrics

Learn econometrics with Prof. Chernozhukov's MIT course! Explore regression, causality, and more.

Statistical Method in Economics

Learn econometrics with Prof. Mikusheva's "Statistical Method in Economics" course. Master statistical tools for economic analysis.

Econometrics

Learn econometrics with this comprehensive course from MIT, taught by Prof. Joshua Angrist. Master statistical methods for economic data analysis.

Introduction to Statistical Methods in Economics

Learn econometrics with this introductory course on statistical methods in economics from Konrad Menzel at MIT OpenCourseWare.

Introduction to Statistical Method in Economics

Learn econometrics with Herman Bennett's "Introduction to Statistical Method in Economics." Explore statistical methods for economic analysis.

Economics of Education

Learn econometrics to analyze education policies & outcomes in this course by Prof. Frank Levy. Explore the Economics of Education!

Econometrics: Methods and Applications

Welcome! Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making. * What do I learn? When you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data. You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises. * Do I need prior knowledge? The course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam. * What literature can I consult to support my studies? You can follow the MOOC without studying additional sources. Further reading of the discussed topics (including the Building Blocks) is provided in the textbook that we wrote and on which the MOOC is based: Econometric Methods with Applications in Business and Economics, Oxford University Press. The connection between the MOOC modules and the book chapters is shown in the Course Guide – Further Information – How can I continue my studies. * Will there be teaching assistants active to guide me through the course? Staff and PhD students of our Econometric Institute will provide guidance in January and February of each year. In other periods, we provide only elementary guidance. We always advise you to connect with fellow learners of this course to discuss topics and exercises. * How will I get a certificate? To gain the certificate of this course, you are asked to make six Test Exercises (one per module) and a Case Project. Further, you perform peer-reviewing activities of the work of three of your fellow learners of this MOOC. You gain the certificate if you pass all seven assignments. Have a nice journey into the world of Econometrics! The Econometrics team

Econometrics

Coursera course: Enjoyable Econometrics

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📚Books(2)

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Introductory Econometrics

Introductory Econometrics - A book resource

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Regression

Regression - A book resource

🌐Websites(5)

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r/econometrics Wiki

Community-curated resources and book recs

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Wooldridge Econometrics Resources

Companion site with data and solutions

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econometrics.org

Econometrics.org is an educational resource dedicated to econometrics theory and applied methods. It provides tutorials, lectures, and practical guidance on model specification, estimation techniques, hypothesis testing, and data analysis.

mostlyharmless.io

Mostly Harmless is a personal blog offering approachable econometrics tutorials, explanations, and practical data-analysis guides with code examples.

datacamp.com/econometrics

DataCamp's Econometrics page offers interactive, hands-on courses and learning tracks focused on econometric concepts, regression analysis, causal inference, and applied data analysis. Course content is designed for data scientists to practice coding in Python and R with real-world datasets.