Course content

This course covers econometric approaches to the analysis of panel data, data with both a substantial time and cross-sectional dimension. This covers approaches ranging from random effects and fixed effects models, through to dynamic panel estimation, event study estimation and synthetic control approaches.

Learning outcome

Knowledge:Upon completion of the course, students will

• know multiple methods for estimating econometric models on panel data.
• learn how different methods can be applied to different types of data and problems.
• be aware of the strengths and limitations of different estimation strategies

Skills:

Upon completion of the course, students will

• be familiar with key methods for conducting credible empirical analyses based on panel data
• be able to conduct own empirical studies based on such data and assess the credibility of empirical results
• be able to apply modern econometric software for empirical analyses based on microdata

General competence:Upon completion of the course, students will

• be able to read and understand research reports and articles that make use of the concepts and methods discussed in the course.
• be able to use the course content in their own independent academic work, such as a master's thesis

Learning methods and activities

2 hours of lectures every week. The course has compulsory activities. Specific requirements will be announced at the beginning of the term.

Compulsory assignments

• Mandatory activity

Specific conditions

Recommended previous knowledge

Bachelor's degree in Economics

Required previous knowledge

None

Course materials

Announced at the beginning of the term.