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41053-01 - Colloquium: Advanced Computational Economics for Research Students (3 CP)

Semester spring semester 2016
Course frequency Every spring sem.
Lecturers Dietmar Maringer (dietmar.maringer@unibas.ch, Assessor)
Content The term "Computational Economics" covers a wide array of methods and concepts, ranging from "traditional" numerical techniques to advanced simulations of complex economic systems, and anything in between. According, this course will also offer some long-established techniques that any economist should have in their toolbox, but will also look at some more recent, innovative contributions.

Building and expanding on the course "Computational Economics", the first part of this course will present some additional numerical for dealing with standard numerical problems and questions. In the second part, however, strong emphasis will be given to complex systems: to understand situations where cause-effect relationships are increasingly replaced with butterfly effects, feedback-loops and self-fulfilling prophecies, where adaptive heterogenous agents dynamically adjust their behaviour and a crisis can emerge for no apparent reason, innovative approaches are necessary. Therefore, approaches like agent-based simulation network analysis will be presented. Again, special attention will be given to implementations and hands-on experiments.
Learning objectives Learning Goals:
Successful participants should be familiar with innovative numerical methods, necessary to approach and solve quantitative problems in economics and business. Also, they will improve their programming skills to implement economic / management models and the necessary methods.
Bibliography there is no designated textbook, but to get a flavor of the topics or to deepen their knowledge, (prospective) participants might find the following books helpful:

Tesfatsion, L. & Judd, K. J. (Eds.) Handbook of Computational Economics Vol. 2: Agent-Based Computational Economics North-Holland, 2006

Hommes, C. Behavioral Rationality and Heterogeneous Expectations in Complex Economic Systems Cambridge University Press, 2013

Gilli, M.; Maringer, D. & Schumann, E. Numerical Methods and Optimization in Finance, Academic Press, 2011

Easley, D. & Kleinberg, J. Networks, Crowds and Markets. Reasoning about a Highly Connected World Cambridge University Press, 2010

Jackson, M. O. Social and Economic Networks Princeton University Press, 2008
Weblink Weblink to ADAM

 

Admission requirements basic programming skills in R or Matlab are helpful
Course application Course registration: Register in MOnA;
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Modul Advanced Field Courses (Doctoral Studies - Faculty of Business and Economics)
Assessment format end-of-semester examination
Assessment details active participation, assignments, and written final exam
written exam: 02.06.2016; 14:45-15:45. WWZ S13 + Labor: A-Z.
Assessment registration/deregistration Registration: course registration
Repeat examination no repeat examination
Scale 1-6 0,1
Repeated registration as often as necessary
Responsible faculty Faculty of Business and Economics , studiendekanat-wwz@unibas.ch
Offered by Faculty of Business and Economics

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