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. The course is an optional master's course and is not taught every semester. Check courses that are taught at https://www.ntnu.no/econ/valgfrie-masteremner. 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.