DRE 7012 Experimental Economics
Responsible for the course Leif Helland
Department Department of Economics
Term According to study plan
ECTS Credits 6
Language of instruction English
Introduction The aim of the course is to provide participants with a thorough understanding of selected topics in experimental economics. Selection of topics will depend on the instructor of the course. Course structure: The course is taught in intensively in four days. Each day consists of 8 hours teaching.
Students are required to participate in class – both in discussions and by presenting experimental designs / computer programs for experiments / material from the reading lists.
Learning outcome After taking this course students should be able to design, implement and analyze economic experiments.
Prerequisites Admission to a PhD Programme is a general requirement for participation in PhD courses at BI Norwegian Business School.
External candidates are kindly asked to attach confirmation of admission to a PhD programme when signing up for a course with the doctoral administration. Candidates can be allowed to sit in on courses by approval of the course leader. Sitting in on courses does not permit registration for courses, handing in exams or gaining credits for the course. Course certificates or conformation letters will not be issued for sitting in on courses.
Compulsory reading Books: Bardsley, Nicholas ... [et al.]. 2010. Experimental economics : rethinking the rules. Princeton University Press
Collection of articles: Compendium/ collection of articles with relevant articles
Other: During the course there may be hand-outs and other material on additional topics relevant for the course and the examination
Recommended reading
Course outline The course focuses on the methods of experimental economics, and some of the recent applications. Each lecture covers a different subject and illustrates how different experimental techniques are employed. Students will participate in experiments in order to acquire hands on experience.
The class will cover experiments on decision making under risk, bargaining, collective action problems, social norms, political economy, and market behavior. As an important part of the course, we will learn how to program in zTree, a software program particularly useful for running laboratory experiments that require interaction between subjects.
Computer-based tools zTree
Learning process and workload Lectures 32 hours Specified learning activities (including reading) 73 hours Autonomous student learning 75 hours Total 180 hours
Examination 15 page individual term paper.
Pass/fail
Examination code(s) DRE 70121 term paper accounts for 100% of the grade.
Examination support materials
Re-sit examination Re-takes are only possible at the next time a course will be held.
When the course evaluation has a separate exam code for each part of the evaluation it is possible to retake parts of the evaluation. Otherwise, the whole course must be re-evaluated when a student wants to retake an exam.
Additional information Academic honesty and trust are important to all of us as individuals, and represent values that are encouraged and promoted by the honour code system. This is a most significant university tradition. Students are responsible for familiarizing themselves with the ideals of the honour code system, to which the faculty are also deeply committed.
Any violation of the honour code will be dealt with in accordance with BI’s procedures for cheating. These issues are a serious matter to everyone associated with the programs at BI and are at the heart of the honour code and academic integrity. If you have any questions about your responsibilities under the honour code, please ask.
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