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ECON2141: Behavioural and Experimental Economics

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Type Open
Level 2
Credits 20
Availability Available in 2023/24
Module Cap
Location Durham
Department Economics

Prerequisites

  • Principles of Economics (ECON1011) AND EITHER Economic Methods (ECON1021) OR Calculus I (MATH1061) AND Linear Algebra I (MATH1071) AND Probability I (MATH1597) AND Statistics I (MATH1617)

Corequisites

  • None

Excluded Combinations of Modules

  • None

Aims

  • To provide an understanding of theories in behavioural economics.
  • To provide training and exposure to experimental economics
  • Identify and understand the elements of experimental design
  • Analyse and critique an experimental design
  • Design and conduct an experiment

Content

  • The course will expose students to theories of behavioural economics, and is likely to include:
  • Shortcomings of the rational choice model and deviations from the Expected Utility Theory
  • Prospect theory and preference dependence
  • Time preferences
  • Social preferences and fairness
  • The contribution of experimental economics to understanding the behavioural side of economics, mainly:
  • What is an experiment
  • Why do experiments
  • Control in experiments
  • Statistics and design
  • Protocol and implementation
  • Field experiments
  • Additional topics may include:
  • Experimental tests of game theory
  • Social dilemmas and public goods
  • Empirical application of Experiments: development and Islamic finance

Learning Outcomes

Subject-specific Knowledge:

  • At the end of the module students should be able to understand research contributions in behavioural and experimental economics.

Subject-specific Skills:

  • Be able to apply problem solving and analytical skills to behavioural economic issues.
  • Be able to design experiments to test hypotheses that are related to economic theory.
  • Ability to identify behavioural aspects (either divergence or convergence) of economic theory.

Key Skills:

  • Written communication - through formative and summative assessments.
  • Oral communication - presenting of papers and participating in seminars.
  • Planning, organising and time management - preparing for presentation, class discussions and examination.
  • Problem solving and analysis - applying the necessary analytical and quantitative skills, as well as the ability to manipulate economics concepts, in answering exam questions and writing the summative assignment.
  • Numeracy - by applying core mathematical and statistical skills to answer a range of exam questions.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Teaching is by lectures and seminars supported by classroom experiments through the medium of a virtual online laboratory. Learning takes place through attendance at lectures, preparation for and participation in seminars, experiments and private study.
  • Formative assessment to prepare for online exam.
  • Summative assessment is by means of online examination to test students' knowledge and understanding of the subject-matter worth 100% of the module mark.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures201 per week1 hour20 
Seminars84 in Term 1, 4 in Term 21 hour8Yes
Revision Lectures21 per week 1 hour2Yes
Preparation and Reading170 
Total200 

Summative Assessment

Component: ExaminationComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
One written online examination2 hours 3,000 words100Same

Formative Assessment

One written piece of work to prepare students for the summative exam.

More information

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