Industrial Organization

lecon2610  2020-2021  Louvain-la-Neuve

Industrial Organization
Due to the COVID-19 crisis, the information below is subject to change, in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
5 credits
30.0 h
Q1
Teacher(s)
Language
English
Prerequisites
An advanced course in Microeconomics.
An introductory course in Industrial Organization
 
Main themes
Market power
Sources of market power
Pricing strategies and market segmentation
Product quality and information
Theory of competition policy
R&D and intellectual property
Network, standards and systems
Market intermediation
 
Aims

At the end of this learning unit, the student is able to :

1

In terms of knowledge, students should be able at the end of the course to
(i)    understand how and why oligopolistic firms manage to set equilibrium prices above marginal costs,
(ii)    analyze asymmetric information problems, in which firms choose their marketing strategy to inform consumers about product quality,
(iii)    address competition policy issues (cartels, collusion, mergers, exclusionary conduct),
(iv)    understand strategies and policies related to innovation and intellectual property,
(v)    analyze topical issues pertaining to network and platform markets.
In terms of skills, students should be able at the end of the course to
(vi)    read and discuss recent contributions to the theoretical and empirical literature in industrial organization.
 

 

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
The goal of the class is to introduce students to current research topics in industrial organization, to make students read and discuss research papers, and to help students develop research questions. We will start with some basic topics but will move quickly to topics in which a lot of research is going on these days, and which are highly relevant to understand our modern complex and digital economy.
I plan to cover the following topics. The focus can be adjusted based on student interests.
  1. Product Differentiation (2 weeks)
  2. Price Discrimination and Targeted Pricing (2 weeks)
  3. Platforms and Two-Sided Markets (2 weeks)
  4. Consumer Search (1-2 weeks)
  5. Behavioral IO aka Psychology and IO (3-4 weeks)
    • We will discuss the role of consumer mistakes and more realistic, psychology-based, models of human behavior for market performance and competition. Does competition induce firms to mitigate, or to exploit consumer mistakes? How can regulation help to mitigate exploitation of consumer mistakes? What is the role of big data and targeted pricing when consumers mispredict their own future behavior?
  6. Student Presentations (1-2 weeks)
Teaching methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

For each week, the students have to read research papers that we will discuss in class. This enables lively interaction and a critical discussion of these papers. At the end of the class, the students have to present research papers themselves, which they can choose from a reading list. Students can also propose papers to present.
We will mostly focus on papers that use theoretical models, but we will also discuss empirical work.
The goal of the class is to inspire research questions. To encourage students to develop research questions, the student will submit a research proposal in which they develop a research question, motivate why it is interesting and fills a gap in the Literature, discuss the methods they would use to approach this question, and explain expected results.

The teaching will start in the second week of the first term (Q1) in class room. Depending on the health situation, we will move to online teaching via TEAMS. 
Evaluation methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

The final grade depends in equal parts on i) participation in class, ii) the students’ presentation of a research paper, and iii) the research proposal.
The evaluation will also be based on these three elements if we have to move the course online to TEAMS.
Other information
The language of the class is English.
Online resources
Available on Moodle: https://moodleucl.uclouvain.be/
Bibliography
A reading list will be made available at the beginning of the course.
Faculty or entity


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [60] in Economics : General

Master [120] in Economics: General

Master [120] in Economics: Econometrics