GRA 6668 Empirical Industrial Organization
GRA 6668 Empirical Industrial Organization
This course concerns the empirical analysis of firms and markets. The course first covers modern applied microeconometric techniques and causal inference applied to the analysis of markets and firms. Subsequently, it introduces structural models of demand and supply of differentiated goods, discusses the estimation of these models and their application to counterfactual analysis – such as simulation of the effects of mergers and acquisitions, introduction of new products, product differentiation, collusion, entry and exit of firms and taxation on market outcomes.
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 structural estimation of supply and demand models (in particular, different classes of discrete choice demand models for differentiated products)
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, evaluating to what extent the analyses provide credible empirical evidence.
- be able to estimate demand and supply models and to use these models to simulate the effects of changes in the market on prices, quantities and welfare
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 specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.
Disclaimer
Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.
| Assessments |
|---|
Exam category: Activity Form of assessment: Presentation Weight: 20 Grouping: Group (2 - 3) Exam code: GRA 66681 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: GRA 66682 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.