Course Announcement: Causal Inference with Observational Data

Abstract:

This course will introduce you to the concepts and methods of causal inference and causal modeling in the social sciences. It will highlight the relevance of research design, analytical methods, and their systematic combination to optimize the validity of causal inferences drawn from empirical studies, with a special focus on longitudinal analysis.

Building on existing knowledge concerning linear regression modelling and research design, the course will then cover key methods to estimate causal effects, including fixed effects estimations with various addons, event study analyses, matching, difference-in-differences, regression discontinuity, and instrumental variables. Throughout the course, you will apply these concepts and methods in hands-on sessions to real-world examples in the social sciences. The application will be conducted with the statistical software package Stata. A solid background in Stata is expected. 

Prerequisites

• Knowledge of basic statistical concepts and their formal background, including the principles of linear regression
• Solid background in Stata
• Basic understanding of designing quantitative studies

Registration:
To register, please send an email to courses.bagss@uni-bamberg.de by Monday, October 13, 2025. Registration is mandatory. The number of participants is lim-ited to 16.

Before the course starts, participants will complete a survey in which they will be asked to state their preferences regarding what they would like to be covered in the course from a set of potential topics.

You can find more information on this workshop in the announcement attached to this email.

Please mind that the deadline for registration is Monday 13 October 2025. To register, please reply to this email. Registration is mandatory! The number of participants is limited to 16.