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2019/2020  KAN-CCMVV1553U  Neuroeconomics

English Title

Course information

Language English
Course ECTS 7.5 ECTS
Type Elective
Level Full Degree Master
Duration One Quarter
Start time of the course Second Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 80
Study board
Study Board for MSc in Economics and Business Administration
Course coordinator
  • Jesper Clement - Department of Marketing (Marketing)
This course is part of the minor in Behavioral Neuroscience and Economy
Main academic disciplines
  • Marketing
  • Business psychology
  • Economics
Teaching methods
  • Blended learning
Last updated on 11-02-2019

Relevant links

Learning objectives
The learning objectives of this course are that students are able to:
• study the neuroeconomics literature and acquire basic knowledge about the methods being used
• reflect on the implication on economics related to the modern view of the brain
• acquire knowledge about the brain and its role in preference formation and decision making
• select an appropriate case for applying theories and models from the course
• identify relevant theories and models from brain science and/or economics to describe and solve a specific problem related to the case
• draw conclusions and discuss their implications for economics
Course prerequisites
The course is open to all CBS graduate students. We will assume only a modest degree of mathematical sophistication and rudimentary knowledge of the basics behavioral decision research. Some background in experimental research methods and passing familiarity with elementary concepts in probability, statistics, and microeconomics will be helpful. The course will be accessible and useful to students in marketing, management, behavioral economics and finance.
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 15 pages
Assignment type Written assignment
Duration Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Winter
Make-up exam/re-exam
Same examination form as the ordinary exam
* if the student fails the ordinary exam the course coordinator chooses whether the student will have to hand in a revised product for the re- take or a new project.
Course content, structure and pedagogical approach

Neuroeconomics is a recently evolved interdisciplinary enterprise at the intersection of psychology, economics, and neuroscience. Its goal is to understand human decision-making in social and economic contexts at a descriptive (functional and brain process) level. The course will offer into this new and exciting field and will touch upon the complementary methodological contributions made by behavioral economics, cognitive psychology, neurophysiology, and neuroimaging. The economic tasks and decisions we will cover in this course include the formation and construction of preference, decisions under risk and uncertainty, intertemporal choice, as well as strategic decisions that require predicting the behavior of others and the role of trust and cooperation in such decisions.

Description of the teaching methods
The teaching method for the courses in the Minor is a blend of self-paced on-line learning and dialog-based lectures, discussions, and presentations in class. Common Neuroscientific theories and models relevant to all three courses within the Minor are given by asynchronous and synchronous on-line lectures, on-line discussions, quizzes and individual/group assignments. Specific topics for this course are given in lecture form. Chapters from textbook and articles will be assigned for reading and time in class will be devoted to discussions and questions regarding these readings.
Feedback during the teaching period
Feedback is given through one or more short assignments during the semester.
Student workload
Forberedelse 123 hours
Undervisning 33 hours
Eksamen 50 hours
Further Information

This course is part of the minor in Behavioral Neuroscience and Economy 

Expected literature

Indicative literature - may change:
Weber, E. U. & Johnson, E. J. (2009). Mindful judgment and decision making. Annual Review of Psychology,60.
Kahneman, D. (2003). Perspectives on judgment and choice: Mapping bounded rationality. American Psychologist, 58, 697-720.
Gul F, Pesendorfer W. 2005. The case for mindless economics. Working paper, Princeton: Princeton University
Camerer, Loewenstein & Prelec. Neuroeconomics: How neuroscience can inform economics. Journal of Economic Literature 2005, XLIII, 9-64.


Loewenstein G, Rick S, Cohen J. 2007. Neuroeconomics. Annual Review of Psychology 59:1-26


Sejnowski & Churchland. Brain and Cognition. From M. Posner (Ed.), Fundamentals of Cognitive Science. MIT Press.

Fellows, LK. The cognitive neuroscience of human decision making: a review and conceptual framework. Behav Cogn Neurosci Rev. 2004 Sep;3(3):159-72.

Loewenstein, G.F., Weber, E.U., Hsee, C., & Welch, N. (2001). Risk as feelings. Psychological Bulletin, 127, 267-286.

Weber, E. U., Shafir, S., & Blais, A.-R. (2004). Predicting risk-sensitivity in humans and lower animals: Risk as variance or coefficient of variation. Psychological Review, 111, 430-445.
Bechara & Damasio. The somatic marker hypothesis: A neural theory of economic decision. Games and Economic Behavior, 52, 336-372.
Kuhnen & Knutston, The neural basis of financial risk taking. Neuron. 2005 Sep 1;47(5):763-70.
Yechiam et al., Using cognitive models to map relations between neuropsychological disorders and human decision-making deficits. Psychol Sci. 2005 Dec;16(12):973-8.
Camile, N., Coricelli, G., Sallet, J., Pradat-Diehl, P., Duhamel, J-R, & Sirigu, A. (2004). Involvement of the orbitofrontal cortex in the experience of regret. Science, 304, 1167-1170.

Hsu et al., Neural systems responding to degrees of uncertainty in human decision-making. Science. 2005 Dec 9;310(5754):1680-3.

Huettel, et al., Neural signatures of economic preferences for risk and ambiguity. Neuron. 2006 Mar 2;49(5):765-75.

Johnson EJ, Haubl G, Keinan A. 2007. Aspects of endowment: A query theory of value construction. Journal of Experimental Psychology-Learning Memory and Cognition 33:461-74

Tom, S. M., Fox, C. R., Trepel, C., & Poldrack, R. A. (2007). The neural basis of loss aversionin decision-making under risk. Science, 315, 515-518.

Frederick, S., Loewenstein, G., & O'Donoghue, T. (2004). Time discounting and time preference: A critical review. Chapter 1 in G. Loewenstein, D. Read & R.F. Baumeister (Eds.), Time and Decision: Economic and Psychological Perspectives on Intertemporal Choice.

Weber, E. U., Johnson, E. J., Milch, K., Chang, H., Brodscholl, J., & Goldstein, D. (2007). Asymmetric discounting in intertemporal choice: A query theory account. Psychological Science, 18, 516-523.

McClure et al., Separate neural systems value immediate and delayed monetary rewards. Science. 2004 Oct 15;306(5695):503-7.

Kahneman, D., Wakker, P.P. & Sarin, R. (1997). Back to Bentham? Explorations of Experienced Utility. Quarterly Journal of Economics, 112, 375-405.

Schultz, W. Multiple reward signals in the brain. Nat Rev Neurosci. 2000 Dec;1(3):199-207.

Padoa-Schioppa & Assad, Neurons in the orbitofrontal cortex encode economic value.

Nature. 2006 Apr 23

Camerer, C.F. (2005). Behavioral game theory: Predicting human behavior in strategic interactions. Chapter 13 in C.Camerer, G. Loewenstein & M. Rabin (Eds.) Advances in Behavioral Economics. Princeton, NJ: Princeton University Press.

Camerer, C.F. (2003). Strategizing in the brain. Science, 300, 1673-1675.

Sanfey et al., The neural basis of economic decision-making in the Ultimatum Game. Science. 2003 Jun 13;300(5626):1755-8.

Last updated on 11-02-2019