EC5223 Industrial Economics
Academic year
2024 to 2025 Semester 2
Curricular information may be subject to change
Further information on which modules are specific to your programme.
Key module information
SCOTCAT credits
20
SCQF level
SCQF level 11
Availability restrictions
Available to MSc students only
Planned timetable
To be arranged
Module coordinator
Dr L M Simanjuntak
Module Staff
Dr Lois Simanjuntak
Module description
This module will provide a thorough advanced treatment of the core models and concepts used in modern analysis of industrial organisation. It as a specialised branch of microeconomics, which focuses on the structure and mechanisms governing markets and on the way firms compete against each other in the pursuit of profit maximization. It will examine such questions as: what determines a market's structure? How does market organization influence firms' behaviour and market performance? And how a firm's strategy can affect a market's structure (e.g. by deterring other firms to enter, through exclusive dealing, etc.)? Topics to be covered include: perfect competition, monopoly, pricing strategies, static oligopoly models, collusion, production differentiation, patents and Intellectual property rights, advertising, networks and technology standards. Students are expected to have a good undergraduate level training in microeconomics, mathematical and statistical techniques.
Assessment pattern
3-hour Written Examination = 75%, Coursework = 25%
Re-assessment
3-hour Written Examination = 100%
Learning and teaching methods and delivery
Weekly contact
2 lectures (X10 weeks), occasional tutorials
Scheduled learning hours
25
Guided independent study hours
168
Intended learning outcomes
- Understand how IO can deepen the understanding of behaviour of firms/agent especially in imperfectly competitive market.
- Developing the skill of selecting the right model(s) to analyse various issues in industrial economics
- Develop the skill of analysing economic behaviour through game theory
- Develop curiosity leading to identifying interesting and relevant papers/examples to extend knowledge of the subject.