Behavioural Economics (2225.YR.014060.2)
General information
Type: |
OPT |
Curs: |
1,2,3,4 |
Period: |
S semester |
ECTS Credits: |
3 ECTS |
Teaching Staff:
Group |
Teacher |
Department |
Language |
Year 1 |
Daniel Sanchez Moscona |
Economía, Finanzas y Contabilidad |
ENG |
Group |
Teacher |
Department |
Language |
Year 2 |
Daniel Sanchez Moscona |
Economía, Finanzas y Contabilidad |
ENG |
Group |
Teacher |
Department |
Language |
Year 3 |
Daniel Sanchez Moscona |
Economía, Finanzas y Contabilidad |
ENG |
Group |
Teacher |
Department |
Language |
Year 4 |
Daniel Sanchez Moscona |
Economía, Finanzas y Contabilidad |
ENG |
Previous Knowledge
Knowledge about basic microeconomic concepts such as supply and demand functions, market equilibrium, and elasticities is assumed. Students are expected to understand the basic rules of probability as well as to have a basic knowledge of statistical concepts such as random sampling, confidence intervals, hypothesis testing, correlation and linear regression. They should also be able to follow basic algebraic arguments and knowledge of the elementary rules of differential calculus is recommendable.
Workload distribution
50% in class
50% independent individual/group work
COURSE CONTRIBUTION TO PROGRAM
Just recently, in 2017, Professor Richard H. Thaler (University of Chicago), a behavioural economist, was awarded the Nobel Prize in Economics. This represented the culmination of a revolution in Economics, in which insights from Psychology were used to greatly enrich classical economic models. This has implied a whole rethinking of the standard rationality assumptions in economics that has allowed the discipline to move in an innovative and exciting direction.
Simultaneously, firms and public institutions noticed the great impact that a better understanding of human attitudes and motivations could have on the quality of their decisions. Thus, currently it is not uncommon to see giant firms like Google or Facebook perform thousands of experiments to establish causal relationships behind economic phenomena.
In this course you will learn the main findings of behavioural economics in topics including choice under uncertainty, other regarding preferences, time discounting, game theory, learning or bounded rationality. You will not only learn how these findings came to be but also how to design, conduct and analyse your own experiments so that organizations can benefit from your knowledge and achieve better decision making based on causal evidence. Additionally, through participating in class experiments, you may also learn more about yourself that you are currently prepared to know!
Course Learning Objectives
By the end of the course, students are expected to be able to:
- Understand the behavioural assumptions made in classical economic models and the influence of psychology in shaping the way modern economics models human behaviour.
- Design incentive schemes that are consistent with the behavioural traits documented in the existing literature.
- Interpret academic articles on behavioural and experimental economics and assess them in terms of their methodological validity.
- Understand the concept of causality and the power of experiments in establishing causal relations.
- Design economic experiments and appropriately interpret their results.
- Think about applications of experimental and behavioural economics in business environments and public policy.
CONTENT
1. Introduction to Behavioral and Experimental Economics Introduction and logistics. What is Behavioural Economics? How did the discipline come about? Economics meets Psychology. Experiments: Explaining causal relationships. Anatomy of an experiment. Challenges of design and implementation. Application to real-life situations. |
2. Enriching the Homo Economicus: Adding behavioural traits to economic models. Cognitive biases and heuristics. Risk aversion and intertemporal decisions: A behavioural approach. Other-regarding preferences. |
3. Policy and business applications of Behavioural Economics Behavioral economics and public policy. Case study: Behavioral Insights Team. Behavioral economics in technological firms. Other applications of behavioural economics: sports, etc. |
Relation between Activities and Contents
|
1 |
2 |
3 |
Class Participation |
|
|
|
Referee reports |
|
|
|
Experimental Project: Presentation |
|
|
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Experimental Project: Final Draft |
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|
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Methodology
- Lectures
- Assignments
- Experimental project
ASSESSMENT
ASSESSMENT BREAKDOWN
Description |
% |
Class Participation |
15 |
Referee reports |
35 |
Experimental Project: Presentation |
15 |
Experimental Project: Final Draft |
35 |
Assessment criteria
- Students can only be assessed if they attend at least 80% of lectures. If students do not meet this condition, their mark will be recorded as "Absent". These percentages, however, do not include justified absences. Students are required to inform the teacher at least one week before the absence in question, except in cases of force majeure. The only justifiable absences are those attributed to: (i) illness; (ii) the death of a family member or similar; and (iii) ESADE activities for which students have received approval to attend from Programme Management.
- Students with a final mark of 50% or higher will pass the course. Students who fail the course will take a resit exam. In order to have the right to a resit, students must have attended at least 80% of lectures.
- Plagiarism (or submitting material that in part or whole is not entirely one's own work) is strictly prohibited. Action will be taken in instances of plagiarism. Students must turn in their written assignments via the Moodle platform. The instructor will analyse their work using anti-plagiarism software (such as Turnitin).
Bibliography
The main reference texts for this course are:
- Thaler, Richard H.,Sunstein, Cass R. (2008) Nudge: improving decisions about health, wealth, and happiness New Haven : Yale University Press
- Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus and Giroux
- Thaler, R. H. (2015). Misbehaving: The making of behavioral economics. W W Norton & Co.
- Luca, Michael, and Max Bazerman. The Power of Experiments: Decision-Making in a Data-Driven World. Cambridge, MA: MIT Press
Moreover, students will have to read some influential academic articles on Behavioural and Experimental Economics.
Timetable and sections
Group |
Teacher |
Department |
Year 1 |
Daniel Sanchez Moscona |
Economía, Finanzas y Contabilidad |
Timetable Year 1
From 2022/9/7 to 2022/11/9:
Each Wednesday from 8:30 to 10:30. (Except: 2022/10/12)
Wednesday 2022/11/23 from 8:00 to 11:00.
Wednesday 2023/2/1 from 8:00 to 8:15.
Group |
Teacher |
Department |
Year 2 |
Daniel Sanchez Moscona |
Economía, Finanzas y Contabilidad |
Timetable Year 2
From 2022/9/7 to 2022/11/9:
Each Wednesday from 8:30 to 10:30. (Except: 2022/10/12)
Wednesday 2022/11/23 from 8:00 to 11:00.
Wednesday 2023/2/1 from 8:00 to 8:15.
Group |
Teacher |
Department |
Year 3 |
Daniel Sanchez Moscona |
Economía, Finanzas y Contabilidad |
Timetable Year 3
From 2022/9/7 to 2022/11/9:
Each Wednesday from 8:30 to 10:30. (Except: 2022/10/12)
Wednesday 2022/11/23 from 8:00 to 11:00.
Wednesday 2023/2/1 from 8:00 to 8:15.
Group |
Teacher |
Department |
Year 4 |
Daniel Sanchez Moscona |
Economía, Finanzas y Contabilidad |
Timetable Year 4
From 2022/9/7 to 2022/11/9:
Each Wednesday from 8:30 to 10:30. (Except: 2022/10/12)
Wednesday 2022/11/23 from 8:00 to 11:00.
Wednesday 2023/2/1 from 8:00 to 8:15.