Postgraduate Programme and Module Handbook 2023-2024 (archived)
Module ECON44015: NONMARKET VALUATION AND PREFERENCE ANALYSIS
Department: Economics
ECON44015: NONMARKET VALUATION AND PREFERENCE ANALYSIS
Type | Tied | Level | 4 | Credits | 15 | Availability | Not available in 2023/24 | Module Cap |
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Tied to | L1T109 |
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Tied to | L1T309 |
Tied to | L1T409 |
Prerequisites
- None
Corequisites
- None
Excluded Combination of Modules
- None
Aims
- To develop advanced knowledge and analytical skills in the theory and practice of the techniques used for the economic valuation of nonmarkets goods.
Content
- Topics may include:
- Concepts of value and its application to goods without markets
- Revealed Preferences Techniques (e.g. Hedonic Pricing Method, Travel Costs Method, etc.)
- Stated Preferences Techniques (e.g. Contingent Valuation Method, etc.)
- Behavioural Economic Models of Preferences (e.g Attitude to Risk, Discounting Behaviour, etc.)
- Sources of Preference Data
- Cost-benefit analysis
Learning Outcomes
Subject-specific Knowledge:
- be able to interpret scholarly literature at the frontier of research in nonmarket valuation;
- have explored, understood and appreciated the complexity and contradictions of the current academic literature and its implications for professional practice
- be able to identify open questions for their own research in nonmarket valuation;
- have a critical understanding of the contribution of economic concepts and techniques to the valuation of goods without proper markets, such as public goods (e.g. environmental quality), and novel goods (goods potentially marketable but without a proper market yet).
Subject-specific Skills:
- be able to apply economic concepts and techniques for valuation of nonmarket goods;
- be able to apply techniques of nonmarket valuation to current issues in policy-making;
- be able to offer policy recommendations informed by the knowledge and technical skills acquired in the module.
Key Skills:
- Written Communication;
- Planning, Organising and Time Management;
- Problem Solving and Data Analysis;
- Using Initiative;
- Numeracy;
- Computer Literacy.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Lectures will present the topics in detail, give suggestions for further reading, give guidance for the problems for the seminars, and give students the necessary knowledge to read and understand the scholarly literature.
- In the seminars students will be encouraged to actively participate and solve the problems. The seminars will train the students to solve analytical problems in the theory underlining nonmarket valuation, identify and critically discuss its applications as well as giving students opportunity to identify research questions.
- The summative written assignment will test students' knowledge and critical understanding of the material covered in the module, their analytical and problem-solving skills.
Teaching Methods and Learning Hours
Activity | Number | Frequency | Duration | Total/Hours | |
---|---|---|---|---|---|
Lectures | 9 | 1 per week | 2 hour | 18 | |
Seminars | 4 | Fortnightly | 1 hour | 4 | ■ |
Revision lecture | 1 | 2 hour | 2 | ||
Preparation & Reading | 126 | ||||
Total | 150 |
Summative Assessment
Component: Assignment | Component Weighting: 100% | ||
---|---|---|---|
Element | Length / duration | Element Weighting | Resit Opportunity |
Written assignment in the form of a project | 2500 words | 100% | Same |
Formative Assessment:
Students will receive formative feedback in a number of forms such as oral feedback on work prepared by students for seminars; answers to questions either discussed during a seminar, or posted on the module website.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University