... and receive personalised notifications on
new pluralistic content directly into your inbox!

Introduction to Econometrics with R

Florian Oswald, Vincent Viers, Jean-Marc Robin, Pierre Villedieu, Gustave Kenedi
Level: advanced
University: Science Po
Platform: github
Year: 2020
Recurrence: flexible
Language: English
Discipline: Data Science, Econometrics
Attendance: free
Workload per week: 4.0 h

Photo by Ruthson Zimmerman on Unsplash

This course introduces the main topics in Econometrics by using R statistical software. The relation of themes is comprehensive and includes the basic notions such as linear regression, multiple regression, causal inference, regression discontinuity and instrumental variable. In total, the course covers thirteen chapters that are common in any undergraduate econometrics course.

Take this course

Comment from our editors:

The use of statistical methods in economics is known as Econometrics. This branch of Economics is the backbone of empirical economics that is taught in most undergraduate programs.  Since econometrics requires data, there is a huge discussion around what kind of methods are suited to deal with the different types of data and problems that a scholar wants to solve. In general, there are cross-sectional data and panel data. The first one collects information from different units (which could be individuals, households, firms, etc) at a given point in time, whereas the second one follows a set of units through more than one period. 

One o f the main challenges in Econometrics is to achieve meaningful or generalizable results from limited datasets. Ultimately, collecting all the information from an entire population is costly and in general impossible. Another challenge is the ability to identify and assess causality relationships among variables. The course which is offered here allows an understanding of the main topics in Econometrics such as linear regression, multiple regression, and panel data methods. 

The complexity of situations that involve the fact that data not always accomplish desired features make Econometrics a field in which ingenuity and technique must be combined. Of course, Econometric methods are no free from controversy, so it is important to mention there are authors that critically have discussed the main corpus of Econometrics. For instance Regression Analysis: A constructive Critique, written by Richard A. Berk. 

This material has been suggested and edited by:


This project is brought to you by the Network for Pluralist Economics (Netzwerk Plurale Ökonomik e.V.).  It is committed to diversity and independence and is dependent on donations from people like you. Regular or one-off donations would be greatly appreciated.