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EC343: Behavioural Economics

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EC343: Behavioural Economics

Module code: EC343

Module provider: Economics; School of Philosophy, Politics and Economics

Credits: 20

Level: Level 3 (Honours)

When you'll be taught: Semester 1

Module convenor: Dr Joo Young Jeon, email: j.jeon@reading.ac.uk

Pre-requisite module(s): BEFORE TAKING THIS MODULE YOU MUST TAKE EC201 OR TAKE EC201NU (Compulsory)

Co-requisite module(s):

Pre-requisite or Co-requisite module(s):

Module(s) excluded:

Placement information: NA

Academic year: 2024/5

Available to visiting students: Yes

Talis reading list: Yes

Last updated: 23 May 2024

Overview

Module aims and purpose

This module offers students the opportunity to extend their understanding of how a broad range of economic decisions are made. Neoclassical economics is underpinned by numerous assumptions about how agents make decisions. Many decisions routinely observed are indeed at odds with classical economic theory. This module builds descriptively accurate models of decision making based on actually observed behaviour and aimed at including psychological intuitions about the drivers of such behaviour. While being descriptively more accurate, the models aspire at the same formal and mathematical rigour of classical models, thus constituting generalisations of the former.

Module learning outcomes

By the end of the module, it is expected that students will be able to:

  1. Understand the limitations of the neo-classical theory in explaining many economic phenomena.
  2. Be familiar with common biases and their implications on decision making and become knowledgeable with some basic theory of Behavioural Economics.
  3. Gain understanding of games used to test behavioural economics theories.

Module content

Basic topics include: expected utility theory; Deviation from EU theory; Social preference; Behavioural game theory; Cooperation; Conflict; Market.

Structure

Teaching and learning methods

A combination of lectures, discussions of topics and problems, and assessed essays. Problem sets and data analysis are an integral part of the learning process as well as the assessment.

Study hours

At least 20 hours of scheduled teaching and learning activities will be delivered in person, with the remaining hours for scheduled and self-scheduled teaching and learning activities delivered either in person or online. You will receive further details about how these hours will be delivered before the start of the module.


 Scheduled teaching and learning activities  Semester 1  Semester 2 Ìý³§³Ü³¾³¾±ð°ù
Lectures 20
Seminars
Tutorials
Project Supervision
Demonstrations
Practical classes and workshops
Supervised time in studio / workshop
Scheduled revision sessions
Feedback meetings with staff
Fieldwork
External visits
Work-based learning


 Self-scheduled teaching and learning activities  Semester 1  Semester 2 Ìý³§³Ü³¾³¾±ð°ù
Directed viewing of video materials/screencasts 10
Participation in discussion boards/other discussions
Feedback meetings with staff
Other
Other (details)


 Placement and study abroad  Semester 1  Semester 2 Ìý³§³Ü³¾³¾±ð°ù
Placement
Study abroad

Please note that the hours listed above are for guidance purposes only.

 Independent study hours  Semester 1  Semester 2 Ìý³§³Ü³¾³¾±ð°ù
Independent study hours 170

Please note the independent study hours above are notional numbers of hours; each student will approach studying in different ways. We would advise you to reflect on your learning and the number of hours you are allocating to these tasks.

Semester 1 The hours in this column may include hours during the Christmas holiday period.

Semester 2 The hours in this column may include hours during the Easter holiday period.

Summer The hours in this column will take place during the summer holidays and may be at the start and/or end of the module.

Assessment

Requirements for a pass

Students need to achieve an overall module mark of 40% to pass this module.

Summative assessment

Type of assessment Detail of assessment % contribution towards module mark Size of assessment Submission date Additional information
Written coursework assignment Essay 50
In-class test administered by School/Dept Online test 50

Penalties for late submission of summative assessment

The Support Centres will apply the following penalties for work submitted late:

Assessments with numerical marks

  • where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of three working days;
  • the mark awarded due to the imposition of the penalty shall not fall below the threshold pass mark, namely 40% in the case of modules at Levels 4-6 (i.e. undergraduate modules for Parts 1-3) and 50% in the case of Level 7 modules offered as part of an Integrated Masters or taught postgraduate degree programme;
  • where the piece of work is awarded a mark below the threshold pass mark prior to any penalty being imposed, and is submitted up to three working days after the original deadline (or any formally agreed extension to the deadline), no penalty shall be imposed;
  • where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

Assessments marked Pass/Fail

  • where the piece of work is submitted within three working days of the deadline (or any formally agreed extension of the deadline): no penalty will be applied;
  • where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension of the deadline): a grade of Fail will be awarded.

The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/qap/penaltiesforlatesubmission.pdf

You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Formative assessment

Formative assessment is any task or activity which creates feedback (or feedforward) for you about your learning, but which does not contribute towards your overall module mark.

Reassessment

Type of reassessment Detail of reassessment % contribution towards module mark Size of reassessment Submission date Additional information
Written coursework assignment Essay 100

Additional costs

Item Additional information Cost
Computers and devices with a particular specification
Printing and binding
Required textbooks Wilkinson N and Klaes M (2012) An Introduction to Behavioral Economics 2nd Edition Basingstoke: Palgrave Macmillan. RRP £52.99
Specialist clothing, footwear, or headgear
Specialist equipment or materials
Travel, accommodation, and subsistence

THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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