Causal Inference in the Social Sciences

This course is offered as part of the Radboud Summer School in Social Research Methods, in collaboration with MethodsNET (a global network that offers excellent training in social research methods).

In this course you will explore the problems social scientists encounter with causality in data, what the consequences are of these problems and what kind of solutions you can apply to counter this.

Course leader

Annemiek Schilpzand
Lecturer and Junior Researcher
Department of Economics and Business Economics
Radboud University

Target group

-Master
-PhD
-Post-doc
-Professional

This PhD level course is open to all researchers aiming at bringing their research to the next level. It is particularly designed for those who want to apply causal reasoning and identification in their empirical research in the social sciences. This course provides a practical insights into the application of empirical techniques of causal inference.

Course aim

After this course you are able to:

-Understand and evaluate the relevance of causality in quantitative research in social sciences
-Apply specific techniques for causal analyses to your research
-Conduct these techniques in R
-Understand and evaluate the benefits and pitfalls of these techniques

Credits info

2 EC
2 ECTS credits, with the possibility of an extra 1-3 ECTS credits depending on additional course work and assignments handed in during or after the summer school (for a possible total of up to 5 ECTS).

Fee info

EUR 575: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.

Scholarships

We offer several reduced fees:
€ 518 early bird discount- deadline 1 April 2022 (10%)
€ 489 partner + RU discount (15%)
€ 431 early bird + partner + RU discount (25%)