GRA 6668 Empirical Industrial Organization

GRA 6668 Empirical Industrial Organization

Course code: 
GRA 6668
Department: 
Economics
Credits: 
6
Course coordinator: 
Fabio Miessi Sanches
Simon Galle
Course name in Norwegian: 
Empirical Industrial Organization
Product category: 
Master
Portfolio: 
MSc in Applied Economics
Semester: 
2024 Autumn
Active status: 
Re-sit exam
Level of study: 
Master
Resit exam semesters: 
2024 Autumn
Teaching language: 
English
Course type: 
One semester
Introduction

THIS COURSE WILL BE OFFERED AS A RE-SIT EXAMINATION ONLY IN AUTUMN 2024.

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.

Learning outcomes - Knowledge

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)
Learning outcomes - Skills

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
General Competence

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
Course content
  • Empirical strategies in applied microeconomics
  • Implementation of empirical strategies in statistical software
  • Key scientific studies in empirical industrial organization.
Teaching and learning activities

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.

Software tools
Stata
Additional information

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.

Qualifications

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
Assessments
Exam category: 
Submission
Form of assessment: 
Submission PDF
Exam/hand-in semester: 
First Semester
Weight: 
100
Grouping: 
Individual
Duration: 
5 Hour(s)
Comment: 
Home exam
Exam code: 
GRA 66683
Grading scale: 
ECTS
Type of Assessment: 
Ordinary examination
Total weight: 
100
Student workload
ActivityDurationComment
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)
Sum workload: 
160

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.