Course content

This course provides an applied introduction to how economists identify causal relationships in empirical data. It focuses on the design of credible research strategies and the implementation of modern causal inference methods, including experiments, difference-in-differences, instrumental variables, regression discontinuity, and matching.

Learning outcome

Knowledge:

Upon completion of the course, students will

• understand key concepts and methods in causal inference and empirical research design
• be aware of the strengths and limitations of different identification strategies
• understand how research design influences the interpretation and credibility of empirical results

Skills:

Upon completion of the course, students will

• be able to conduct empirical analyses in R using modern causal inference methods
• be able to design credible empirical studies and critically evaluate identification strategies
• be able to reproduce and interpret results from applied economic research

General competence:

Upon completion of the course, students will

• be able to read, understand, and critically assess research articles using causal inference methods
• be able to apply these methods in their own academic work, such as a master’s thesis or research project
• develop a practical understanding of how economic theory and data are combined to answer policy-relevant questions

Learning methods and activities

The course includes a pedagogic introduction to chosen software. Mandatory assignments and data labs will be announced at the beginning of the semester.

2 hours of lectures every week. The course has compulsory activities. Specific requirements will be announced at the beginning of the term. Students enrolled in ISØ's master programs can take the course any semester. Contact the department (kontakt@econ.ntnu.no) to get access to learning resources.

Compulsory assignments

• Mandatory activity

Recommended previous knowledge

Bachelor's degree in Economics

Required previous knowledge

None

Course materials

Announced at the beginning of the term.