Introductory description

EC301-15 Mathematical Economics 2: Dynamics, Uncertainty & Asymmetrical Information

Module web page

Module aims

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:

The role of asymmetric information in competitive markets. Topics on games of incomplete information: Bayesian and Perfect Bayesian equilibrium - especially in signalling and agency games. Screening and moral hazard.

Learning outcomes

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

• Subject knowledge and understanding… demonstrate an appreciation of the use and limitations of formal mathematical approaches to economic theory and applicationsThe teaching and learning methods that enable students to achieve this learning outcome are: Lectures, background readingThe summative assessment methods that measure the achievement of this learning outcome are: Test, final exam
• Subject knowledge and understanding… demonstrate a comprehensive understanding of the main results and open questions in the chosen areasThe teaching and learning methods that enable students to achieve this learning outcome are: Lectures, background readingThe summative assessment methods that measure the achievement of this learning outcome are: Test, final exam
• Cognitive skillsCognitive skillsDemonstrate capacity of: Critical, creative and strategic thinking. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, background readingThe summative assessment methods that measure the achievement of this learning outcome are: Test, exam
• Cognitive skills… convey and interpret material to a critical audienceThe teaching and learning methods that enable students to achieve this learning outcome are: Lectures. The summative assessment methods that measure the achievement of this learning outcome are: Test, exam
• Cognitive skillsDemonstrate capacity of: Analytical thinking, reasoning and application.The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, background readingThe summative assessment methods that measure the achievement of this learning outcome are: Test, exam
• Cognitive skillsCognitive skillsDemonstrate capacity of: Abstraction and Problem solving. The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, background readingThe summative assessment methods that measure the achievement of this learning outcome are: Test, exam
• Subject-specific/professional skills… show the ability to absorb and analyse peer-reviewed literature The teaching and learning methods that enable students to achieve this learning outcome are: Lectures, background readingThe summative assessment methods that measure the achievement of this learning outcome are: Test, exam

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
Creative thinking
Strategic thinking
Problem-solving
Abstraction
Analysis of incentives
Concepts of Simultaneity and Endogeneity
Analysis of optimisation
Understanding of Uncertainty and Incomplete Information

Transferable skills

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