DRE 7050 Topics in Empirical Microeconomics I
The aim of the course is to give the students a thorough understanding of selected topics in empirical microeconomics. Selection of topics will depend on the instructor of the course. In Spring 2023 we will cover topics in panel data analysis, other than those studied in DRE 7006, such as dynamic panel data analysis and common factor models.
After having completed this course, students should be able to have an understanding of how panel data can be used to analyse complex problems and control for unobserved heterogeneity. In addition, students will have knowledge on how modern software can be used to analyse big data and turn the results into an easily interpretable format.
After having completed this course, students should be able to undertake rigorous panel data analysis and critically evaluate different estimation approaches in the context of the model at hand. Furthermore, students will develop skills on how to communicate these results to a broader audience.
Panel data modelling is a broad area that combines economic theory, mathematics and statistical inference. Being a statistical tool, it relies on a set of assumptions that are not always met in some real-world settings. Upon completion of this course, students will be aware of the limitations of panel data analysis and how these can influence the final results in a research project.
- Introduction to panel data analysis
- Dynamic models
- Heterogeneous panels
- Mixed models
- Cross-sectional dependence
- Limited dependent variable models
Lectures, in-class applications, computer exercises, problem sets.
Admission to a PhD Programme is a general requirement for participation in PhD courses at BI Norwegian Business School.
External candidates are kindly asked to attach confirmation of admission to a PhD programme when signing up for a course with the doctoral administration. Other candidates may be allowed to sit in on courses by approval of the course leader. Sitting in on courses does not permit registration for courses, handing in exams or gaining credits for the course. Course certificates or conformation letters will not be issued for sitting in on courses
Form of assessment
Examination when next scheduled course
Feedback activities and counselling
Student's own work with learning resources
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 3 ECTS credit corresponds to a workload of at least 80 hours.