Module code: ECO3038

Module Overview

This module looks at developments in microeconomic theory in relation to the role of information in the economy. It presents models of the basic contract theory and asymmetric information (moral hazard and adverse selection) as well as some of the applications of these models (e.g., insurance, labour market contracts). The module builds on the knowledge and skills the students have acquired in Levels 4 and 5 in terms of microeconomic theory, mathematical tools (algebra, calculus, constrained and unconstrained optimisation) and econometrics.

Module provider


Module Leader

BOZBAY Irem (Economics)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 6

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 78

Lecture Hours: 20

Tutorial Hours: 5

Guided Learning: 27

Captured Content: 20

Module Availability

Semester 1

Prerequisites / Co-requisites

Economics and Mathematics students:  ECO2051 (Intermediate Microeconomics 2) is a pre-requisite for this module

Module content

Indicative content includes:

  • Baseline principal-agent model

  • Moral hazard and adverse selection models

  • Applications (e.g. investment finance)

Assessment pattern

Assessment type Unit of assessment Weighting
Online Scheduled Summative Class Test CLASS TEST 1 Online Test within a 4hr window 10
School-timetabled exam/test CLASS TEST 2 (1 HR) 20
Examination EXAMINATION (120 MIN) 70

Alternative Assessment

Not applicable

Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate their understanding of developments in the economics of asymmetric information. Students who complete the module successfully will have demonstrated an ability to answer analytical questions on economic problems involving incomplete information, using a mixture of maths, diagrams and written and verbal reasoning.

The summative assessment for this module consists of:

  • Two class tests 

  • A final examination 

Formative assessment and feedback

Students receive verbal feedback on questions asked during lectures and tutorials. Five tutorial problem sets (with solutions) are distributed during the module. After each class test, written feedback is provided, consisting of solution guidelines. The various forms of feedback will allow the students to identify their areas for improvement and encourage them to seek further feedback and support while taking responsibility of their own learning. Students wishing to obtain further individual feedback can attend the student consultation hours of the teaching staff. They will be able to post and answer other students’ questions on the Discussion Forum on SurreyLearn and will be encouraged to work in small groups to learn through discussion and exchange of ideas.

Module aims

  • To promote students' understanding of how standard economic models and results are altered by the introduction of asymmetric information.
  • To help students appreciate how many real-world phenomena can be rationalised with the aid of asymmetric information models.
  • To promote students' understanding of the value of empirical research that aims to test asymmetric information contract models.
  • To provide students with tools that help them to analyse the impact of asymmetric information on efficiency and economic welfare.

Learning outcomes

Attributes Developed
001 Be able to set out and explain the basics of the principal-agent problems. KC
002 Be able to determine and discuss the welfare consequences of asymmetric information. KC
003 Be able to explain how various real-world outcomes (such as insurance deductibles, warranties and performance pay) can be rationalised in a principal-agent setting, a skill applicable to various Economics related job roles. KCPT
004 To have an in-depth knowledge and understanding of the extent to which empirical data supports the results generated by the theoretical models, this further supporting future employability. KCPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to provide the students with the opportunity to enhance their skills in economic thinking, specifically in the context of asymmetric information, as well as improve their written and verbal presentation. These are skills and abilities that they will benefit from in their future job roles.

The learning and teaching methods include:

  • Lectures 

  • Feedback sessions

The lectures will introduce the students to the weekly topic and provide numerical examples and real-world applications of the theoretical model at hand. Students are encouraged to ask and answer questions to develop a deeper understanding of the material. The tutorials will focus on discussing a set of numerical and/or theoretical problems and applications that will be provided in advance of the session. Students are expected to solve the problems before attending the tutorial in order to be able to discuss the solutions as well as ask for clarifications where needed. Engaging with the various methods of teaching will enable the students to become experts in their own strengths and help them identify their areas for improvement which promotes their resourcefulness and resilience. Guided learning consists of reading empirical studies related to the theory discussed in the lectures so as to provide the students with the opportunity to form links between the theory and empirical research, an essential skill for an economist.

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list
Upon accessing the reading list, please search for the module using the module code: ECO3038

Other information

The School of Economics is committed to developing graduates with strengths in Employability, Digital Capabilities, Global and Cultural Capabilities, Sustainability, and Resourcefulness and Resilience. This module is designed to allow students to develop knowledge, skills, and capabilities particularly in the following areas:

Employability: Students will acquire knowledge and skills relevant to being able to discuss, debate and write about the effects that asymmetric information has on efficiency and welfare across industries (e.g. investment finance, insurance).

Resourcefulness and resilience: The students will develop the ability to solve and analyse models in the context of asymmetric information. They will be encouraged to stretch their skills and abilities even further than they have needed to in previous microeconomic modules while developing effective learning strategies.

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Economics BSc (Hons) 1 Compulsory A weighted aggregate mark of 40% is required to pass the module
Financial Mathematics BSc (Hons) 1 Optional A weighted aggregate mark of 40% is required to pass the module
Economics and Mathematics BSc (Hons) 1 Optional A weighted aggregate mark of 40% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2025/6 academic year.