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EC943-15 Industrial Economics

Department
Economics
Level
Taught Postgraduate Level
Module leader
Minh Tung Le
Credit value
15
Module duration
9 weeks
Assessment
Multiple
Study location
University of Warwick main campus, Coventry

Introductory description

The aim of this module is to provide concise coverage of a range of central topics in industrial economics, first building a framework of oligopoly then adding to that framework, so bringing the models closer to life. Consequently, the student will gain an appreciation of the key ideas underlying the subject, on which they can build or develop as necessary. The approach involves a mixture of models and empirical examples throughout, including a flavour of the predominant techniques in current empirical work.

Module web page

Module aims

The module aims to provide an understanding of how theories from industrial economics can help one comprehend the behaviour of firms in imperfectly competitive markets. It also aims to give some guidance as to how researchers use real-world data to test those theories.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

The module will typically cover the following topics:

  • Oligopoly models: strategic behaviour amongst a given set of firms;
  • Developments of the basic oligopoly models;
  • Horizontal and vertical product differentiation;
  • Various forms of price discrimination; two-part tariff, bundling, yield management, dynamic pricing;
  • Sequential and non-sequential search model; Switching; Search and Switching in Oligopolistic Market;
  • Bounded Rationality: Sampling; Loss-Aversion in Menu Design.

Learning outcomes

By the end of the module, students should be able to:

  • Subject Knowledge and Understanding:...demonstrate a thorough understanding of the theoretical foundations of industrial economics. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, independent study. The summative assessment methods that measure the achievement of this learning outcome are: Report and problem sets
  • Subject Knowledge and Understanding:...demonstrate a significant understanding of empirical applications of industrial economics. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, independent study. The summative assessment methods that measure the achievement of this learning outcome are: Report
  • Subject Knowledge and Understanding:...demonstrate an ability to apply industrial economic concepts to particular examples. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, independent study. The summative assessment methods that measure the achievement of this learning outcome are: Report and problem sets

Indicative reading list

Please see Talis Aspire link for most up to date list.

View reading list on Talis Aspire

Subject specific skills

Students will have the opportunity to develop skills in:
Analytical thinking and communication
Analytical reasoning
Critical thinking
Strategic thinking
Problem-solving
Abstraction
Policy evaluation
Analysis of incentives
Analysis of Institutions
Analysis of optimisation
Understanding of Uncertainty and Incomplete Information

Transferable skills

Students will have the opportunity to develop:
Numeracy and quantitative skills
IT Skills
Written communication skills
Oral communication skills
Team work skills
Mathematical, statistical and data-based research skills

Study time

Type Required
Lectures 18 sessions of 1 hour (12%)
Other activity 3 hours (2%)
Private study 129 hours (86%)
Total 150 hours

Private study description

Private study will be required in order to prepare for lectures, to review lecture notes, to prepare for forthcoming assessments, and to undertake wider reading around the subject.

Other activity description

Extra teaching sessions

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Students can register for this module without taking any assessment.

Assessment group D1
Weighting Study time Eligible for self-certification
Problem Set 1 10% Yes (extension)
Problem Set 2 10% Yes (extension)
In-person examination 80% No

A paper which examines the course content and ensures learning outcomes are achieved.


  • Students may use a calculator
  • Answerbook provided by department
Assessment group R1
Weighting Study time Eligible for self-certification
In-person examination 100% No

A paper which examines the course content and ensures learning outcomes are achieved.

Feedback on assessment

The Department of Economics is committed to providing high quality and timely feedback to students on their assessed work, to enable them to review and continuously improve their work. We are dedicated to ensuring feedback is returned to students within 20 University working days of their assessment deadline. Feedback for assignments is returned either on a standardised assessment feedback cover sheet which gives information both by tick boxes and by free comments or via free text comments on Tabula, together with the annotated assignment. For tests and problem sets, students receive solutions as an important form of feedback and their marked assignment, with a breakdown of marks and comments by question and sub-question. Students are informed how to access their feedback, either by collecting from the Department of Economics Postgraduate Office or via Tabula. Module leaders often provide generic feedback for the cohort outlining what was done well, less well, and what was expected on the assignment and any other common themes. This feedback also includes a cumulative distribution function with summary statistics so students can review their performance in relation to the cohort. This feedback is in addition to the individual-specific feedback on assessment performance.

Past exam papers for EC943

Pre-requisites

The module will build on some aspects of your knowledge of microeconomics including elementary game theory. In addition it assumes some knowledge of econometrics.

Courses

This module is Optional for:

  • Year 1 of TECA-L1P6 Postgraduate Taught Economics
  • Year 4 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics

This module is Option list B for:

  • Year 4 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics