GRA 6668 Empirical Industrial Organization
GRA 6668 Empirical Industrial Organization
This course concerns empirical analysis of firms and markets, with a strong leaning towards modern applied microeconometric techniques. The course teaches these techniques and their applications to major issues. We also go through other empirical cases from the industrial organization literature and discuss the empirical methods uses for analyzing different industrial organization issues. Such issues include the relationship between market structure and firm profitability, product differentiation, entry and market structure, innovation, and mergers.
After taking this course, students should
- know how to analyze empirical microeconomic problems using data from experiments and quasi-experiments
- know how experiments and quasi-experiments are used in empirical industrial organization, including the limitations of these methods
- know about the different empirical analysis techniques in empirical industrial organization, when they are used and the limitations of the different methods
After taking this course, students should
- be able to perform experimental and quasi-experimental analyses of economic data using statistical software
- be able to assess empirical analyses of issues in industrial organization, evaluating to what extent the analyses provide credible empirical evidence.
After taking this course, students should:
- have achieved a broader understanding on how economic theory and empirical analyses can complement each other when we try to understand markets and firms
- Empirical strategies in applied microeconomics
- Implementation of empirical strategies in statistical software
- Key scientific studies in empirical industrial organization.
Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class that is not included on itslearning.
Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class.
Both parts of the examination must be passed in order to receive a final grade in the course.
All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have spesific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.
Covid-19
Due to the Covid-19 pandemic, there may be deviations in teaching and learning activities as well as exams, compared with what is described in this course description.
Teaching
Information about what is taught on campus and other digital forms will be presented with the lecture plan before the start of the course each semester.
| Assessments |
|---|
Exam category: Activity Form of assessment: Presentation Weight: 20 Grouping: Group (2 - 3) Exam code: GRA66681 Grading scale: ECTS Resit: Examination when next scheduled course |
Exam category: Submission Form of assessment: Written submission Weight: 80 Grouping: Individual Duration: 5 Hour(s) Comment: Home exam. Exam code: GRA66682 Grading scale: ECTS Resit: Examination when next scheduled course |
All exams must be passed to get a grade in this course.
| Activity | Duration | Comment |
|---|---|---|
Teaching | 36 Hour(s) | |
Examination | 5 Hour(s) | |
Group work / Assignments | 10 Hour(s) | Preparing student presentations |
Student's own work with learning resources | 109 Hour(s) |
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.