Course description
This course develops advanced tools for causal inference with panel data. The course provides an introduction to modern methods for causal inference with panel data. It covers the theoretical foundations of Difference-in-Differences, event-study designs, fixed-effects models, and matching-based estimators. Attention is given to identification strategies, diagnostics, and the interpretation of treatment effects under different data structures. The participants work with empirical applications and reproduce published analyses using statistical software, with a focus on practical implementation, assessment of underlying assumptions, and critical evaluation of causal claims.
Requirements and Selection
Entry requirements
The course presumes prior knowledge of basic statistics, including regression analysis, statistical inference and familiarity with the concept of causal inference. Experience with R (or equivalent software) is recommended.
Selection
This is a third-cycle course within the school of R-QRM Register-based Quantitative Research Methods in Education. Both doctoral students and university lecturers with a PhD are welcome.The number of participants is limited to 15. Priority will be given to doctoral students with an educational sciences focus, secondly supervisors for doctoral students with a focus on educational science research and thirdly doctoral students and researchers from other fields with an interest in quantitative designs and analyses. The course is open to Swedish and international participants.
Educational partnership
Collaborating Departments
Department of Education and Special Education (department in charge), University of Gothenburg, in collaboration with Department of Applied Educational Science, Umeå University, Uppsala University, Stockholm University.
Other information
You need to confirm in your motivation that you fulfil the course requirements.
If you are applying as a post-doc, you still need to use the application form as if you were a doctoral student. Please state in your motivation if you are a post-doc.
Course syllabus
RQRM251
Reading and reference list
Reading and reference list for the course
Department
Department of Education and Special Education
Subject
Educational Science
Type of course
Method course
Research School/Graduate School
R-QRM: Register-based Quantitative Research Methods in Education
Keywords
kvantitativa forskningsmetoder, pedagogik, utbildningsvetenskap, Quantitative Research Method, Educational research, Education, Register, Register-data, Registerdata, Paneldata, Panel Data