Kursussøgning, efter- og videreuddannelse – Københavns Universitet

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Kursussøgning, efter- og videreuddannelse

Behavioural and Experimental Economics

Practical information
Study year 2016/2017
Block 1
Programme level Full Degree Master
Course responsible
  • Toke Reinholt Fosgaard (2-796b456e6b777433707a336970)
  • Department of Food and Resource Economics
Course number: NIFK14031U

Course content

Behavioral and Experimental Economics is increasing becoming a more and more prominent field in economics and social science in general. This is illustrated by the fact that the Nobel Prize in Economics in 2002, 2009, and 2012 was awarded for contributions to Behavioral and Experimental Economics. The findings of Behavioral and Experimental Economics is now so robust and respected, that governments, firms, and other organizations in great numbers actively apply the insights from this field. The methodology of Behavioral and Experimental Economics is to revise the standard economic models of human behavior by integrating psychological, sociological, and neuroscience research in to the economic science.

As a student completing this course you will learn two major objectives:

1) Understand what behavioral and experimental economics (BEE) is. Through a series of topics it will be exemplified to you how BEE can be used to study central elements of human decision making. To obtain this insight several activities are initiated: A) You read about behavioral economic theories/concepts and how previous experiments test how people actually behavior in such situations. B) You participate yourself in experiments C) You analyze behavior from class experiments you participated in. D) You engage actively in lectures and classroom discussions.

2) The second major objective that you will learn in this course is to set up experiments yourself. By applying a hand-on approach to economic experiments you will understand what it in practice means to conduct experiments and this will allow you to reflect on the limitations and possibilities of this method. Not least, the required knowledge enables you to be a critical consumer of economic experiments done by others, which is a key (and lacking) skill when applying BEE results in real life. Your learning of the experimental method is facilitated in several ways: A) You act as experimenter in several class-demonstration experiments B) In groups, you develop own experimental designs and carry it out in practice. C) You learn about experimental designs in lectures and through discussions of designs applied in research papers.

On top of the two main objectives, you will get inputs as to how read academic papers can be read efficiently and how to remain critical and reflective to the conclusions drawn on experimental work.

What you learn in the course will be evaluated in two ways. 1) You will be engaged in a semester project, in which you set up your own experiment together with a group of other students. This project will allow you to demonstrate that you are able to handle the full academic process of running an experiment all the way from formulating an interesting research idea, review existing knowledge, carefully designing and performing an experiment to test the research idea, and finally analyze and discuss the findings. 2) At the very end of the course you will be asked to complete a more traditional written exam of 2 hours. Here one topic from the course will be selected, and you are asking to explain how the BEE literature has approached this topic and what the main findings are, and comment on possible class-experiment(s) related to this topic.

Learning outcome

As a student in this course you will learn about behavioral theories which are enriching our understanding of key social science phenomena, and learn how these theories are tested in behavioral experiments. You will learn to master the analytical method behind behavioral and experimental economics.


- The notion of behavioral and experimental economics

- Understanding of what behavioral biases are



- Explain the difference between standard economics and behavioral economics thinking

- Exam behavioral biases through own experimental testing



- Conduct behavioral experiments

- Understand the mechanism behind real-world phenomena and what possibly produces them


Recommended prerequisites

There are no recommended prerequisites.

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MSc Programme in Agricultural Economics
MSc Programme in Environmental and Natural Resource Economics
MSc Programme in Forest and Nature Management


Study Board of Natural Resources and Environment

Course type

Single subject courses (day)


1 block


---- SKEMA LINK ----

Teaching and learning methods

The course combines discussion-based class sessions, class based demonstration experiments, group work, and group presentations . Your learning process depends on your active participation in class as well as outside the classroom.


100 students




Adcademic papers and a textbook


Category Hours
Project work 50
Lectures 50
Project work 56
Preparation 50
English 206


Type of assessment

Oral examination, 20 min
Written examination, 2 hours under invigilation
The grading in this course consists of two parts.
Part 1: Oral examination in the report. The presentation, and the responses to the questions count 55% of the final grade (Individual grading applies).
Part 2: a two hour written essay exam in one of the topics covered in the course (closed book). This part counts the remaining 45% of the final grade. The final grade is to be set as a weighted average of the results from the part-examinations, and each part has to be passed.

The course has been selected for ITX exam at Peter Bangs Vej.


Without aids

Marking scale

7-point grading scale

Criteria for exam assessment

The grade 12 will be achieved if the student fulfill the learning outcome.

Censorship form

No external censorship
One internal examiner


Written re-examination. 2 hours.

If the student has not handed in the project report, a new report has to be handed in two weeks prior to registration of the re-examination. The report has to be approved before the exam.

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