Applied Regression Analysis: Estimation, Diagnostics, and Modelling

About

This course offers an immersive online learning environment that employs state-of-the-art pedagogical tools. With a maximum of 20 participants, our teaching team can provide personalised attention to each individual, catering to their specific needs. The course is designed for a demanding audience, including researchers, professional analysts, and advanced students.

Course leader

Alexandru Moise is a postdoctoral researcher at the European University Institute (2020–2025). He received his PhD in political science from Central European University in 2019. Alex's research focus is the political economy of welfare reforms. He looks at how individual perceptions and the quality of party linkages affect health care policy. Within the context of the ERC SOLID project, he looks at how crises affect European integration using a variety of quantitative models. He has been teaching quantitative analysis courses at Johns Hopkins University, the European University Institute, Central European University, Ilija University, and the ECPR’s Summer and Winter Schools for many years.

Target group

Social science researchers

Course aim

This course will introduce you to regression analysis using R. You will learn about the classical theory of Ordinary Least Squares (OLS) regression, along with non-linear regression techniques. Through the use of various data sets and models, you will gain an understanding of when and how regression can be valuable in policy analysis and other contexts.

You must have a basic understanding of probability. Basic knowledge of R would also be useful.

Fee info