Markets and Industrial Organization (26044)

July 15, 2020

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Method of completion: contact teaching

 

Sisu page

 

Schedule:

 

Study material:

  • Can be found in the Moodle learning platform
  • Log in with your Hanken username to be able to use all the features of the course workspace
  • Access to many Moodle courses requires an enrollment key (course password), which you can get from the teacher of the course. The key is sent to you by email or it is posted as a message in Sisu couple of days before the course starts.

 

Enrollment:

  • In Hanken’s Sisu with your Hanken username
  • To be able to register for the course in Sisu, please note that
    • You must have a valid right to study at the course host university
    • You have created your primary personal study plan (HOPS) based on your study right
    • You have added the course for which you are registering to your HOPS
    • More information can be found on the webpage How to enroll in the courses?

 

Course Description:

Course Description:

This course shows how micro-economic models can be used to analyse the functioning of markets and industries. We will focus on economic phenomena that are typically studied in the field of industrial organization (IO). The course will cover the following topics: technology and costs of firms, user data and algorithmic pricing, market structure, product differentiation, and network choice, barriers to entry, vertical controls and vertical contracts, markets with intermediaries and platforms, and markets with network effects.

This course presents students the necessary theoretical foundations for subsequent analytical studies of markets, strategic competition and economic implications of entry as well as regulation. It also illustrates how IO models can be used to analyse data on markets outcomes.

The course consists of two parts: The first part introduces various tractable IO models that can be used to carry out analytical studies. The second part consists of assigned readings and student presentations. Students will be asked to read assigned papers and to present them to others in class.

Doctoral students can also take this course.