2018/2019 KAN-CCMVV1553U Neuroeconomics
English Title | |
Neuroeconomics |
Course information |
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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
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Course coordinator | |
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This course is part of the minor in Behavioral Neuroscience and Economy | |
Main academic disciplines | |
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Teaching methods | |
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Last updated on 07-02-2018 |
Relevant links |
Learning objectives | ||||||||||||||||||||||
The learning objectives of this course are that
students are able to:
Specifically: • study the neuroeconomics literature, and acquire basic knowledge about the methods being used • reflect on the implication of the modern view of the brain on economics, and in particular for specific areas, such as consumer behaviour and finance In general: • 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 case • structure and analyze data by using adapted theories and models draw conclusions from this analysis and discuss their implications for economics |
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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. | ||||||||||||||||||||||
Examination | ||||||||||||||||||||||
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Course content and structure | ||||||||||||||||||||||
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. |
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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 | ||||||||||||||||||||||
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Further Information | ||||||||||||||||||||||
This course is part of the minor in Behavioral Neuroscience and Economy |
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Expected literature | ||||||||||||||||||||||
Indicative literature - may change:
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.
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. |