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040106 UK UK Decision and Game Theory (BA) (2020S)

12.00 ECTS (6.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 120 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 02.03. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 03.03. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 03.03. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 04.03. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 09.03. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 10.03. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 10.03. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 11.03. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 16.03. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 17.03. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 17.03. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 18.03. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 23.03. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 24.03. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 24.03. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 25.03. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 30.03. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 31.03. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 31.03. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 01.04. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 20.04. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 21.04. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 21.04. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 22.04. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 27.04. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 28.04. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 28.04. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 29.04. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 04.05. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 05.05. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 11.05. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 12.05. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 12.05. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 13.05. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 18.05. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 19.05. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 19.05. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 20.05. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 25.05. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 26.05. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 26.05. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 27.05. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 03.06. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 08.06. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 09.06. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 09.06. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 10.06. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 15.06. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 16.06. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 16.06. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 17.06. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Monday 22.06. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 23.06. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 29.06. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 30.06. 11:30 - 13:00 Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 30.06. 15:00 - 16:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

UPDATE ON FORMAT MARCH 2020: Until further notice, all teaching will take place remotely. Lectures are uploaded on Moodle every week so that you can watch them at the normal lecture time. A live chat is also available on Moodle for you to ask questions during the lecture time. Problem sets should still be submitted on Moodle and still count towards your final grade. Solutions to the problem sets will be posted online and a video commentary will be added. All official communication on the course will be done via email or Moodle.

Format: The topics of the course will be presented by the lecturer. Students are expected to read the material in advance so that there can be active interaction during the lectures. There are separate exercise sessions where problem sets will be discussed. In game theory it is very important to try to solve the exercises yourself. When problems are discussed, students are therefore expected to have worked on the problem sets in advance.

Course content: This course builds upon and extends the required second-year microeconomics course (040102 UK). It goes beyond the study of simple choices by consumers and firms by exploring how economic agents make decisions in more complex environments.

In decision theory we will study the behaviour of individual agents facing uncertainty. For instance, investors need to choose how to invest when they don't know whether stock markets will produce positive or negative returns, firms need to decide how much quantity to produce when they don't know whether a recession is coming or not.

Game theory studies the behaviour of agents who interact with other agents. For example, firms decide whether to enter a new market by anticipating how their competitors will react. Workers decide how to cooperate with others by anticipating how this will affect their reputations.

All theoretical concepts will be discussed in the context of many different applications.

Assessment and permitted materials

The cutoffs for grades in this course are as follows:
1 - Above 87%
2 - Above 75%
3 - Above 63%
4 - Above 50%

UPDATE JUNE 2020: ONLINE FINAL EXAM
- Format: The exam will have 4 problems with 3 to 5 subquestions in each problem.
- Content: The exam will cover all material covered in this course (lecture 1 to lecture 12 included). This is an open-book exam, so you are allowed to access all your notes while solving it.
- Timing: You have 1 hour 30 mins to complete the exam and 30 mins to upload your solutions.
- Date and logistic: The exam will take place on Tuesday the 30th of June from 11.00 to 13.00. The exam will be posted on the course's Moodle page in the section "Final exam" at 11.00am (CET) on the 30th of June. You will then be able to download the cover sheet and the questions. Make sure you fill in the cover sheet before starting the exam. You can either handwrite your answers on a blank piece of paper or type them in a Word document (or other typesetting software) . Once you have completed all the answers, convert your word document to pdf or take a picture of your handwritten answers and submit them on Moodle together with the completed cover sheet, via the link available below the exam paper in the section "Final exam". The link will only be available until 13.00pm (CET) on the 30th of June. If you fail to submit your exam by this time, then you will get a grade of 0 for this exam.
Questions and technical issues: I will be available via the Moodle/Blackboard chat to discuss any questions you may have during the exam. If you face a technical issue at any point, either to access the Moodle page, download the exam, or upload your answer, please let me know as quickly as possible by email or otherwise so we can address the issue.

You are expected to complete the exam independently and without communicating with anyone else.

UPDATE ON ASSESSMENT APRIL 2020: The mid-term exam will account for 40% of the final grade, the final exam 50% and the problem sets 10%.

UPDATE APRIL 2020 - ONLINE MID-TERM EXAM. The exam will take place on Wednesday the 6th of May from 11.30 to 13.30. The exam will be posted on the course's Moodle page in the section "Mid-term exam" between "Dynamic games 2" and "Dynamic games 3" at 11.30am (CET) on the 6th of May. Content: The exam will cover all material up to and including "Dynamic Games 2: commitment and first-mover advantate" which we will cover next week. This is an open-book exam, so you are allowed to access all your notes while solving it. You are expected to complete the exam independently and without communicating with anyone else.

There will be one midterm exam and one final exam, which account for 30% and 60% of the grade, respectively. The remaining 10% is obtained by actively participating in tutorials and handing in one homework set. Every tutorial, some students are randomly selected to hand in their answers to the homework for that week at the beginning of the session.

Minimum requirements and assessment criteria

Students are required to have taken Microeconomics for Student of Economics.

Examination topics

Week 1: Introduction to game theory: questions and concepts.

Week 2: Decisions under Uncertainty

Week 3: Static games 1: strategies, best responses, Nash equilibrium, equilibrium in dominant strategy

Week 4: Static games 2: Mixed strategy Nash equilibrium

Week 5: Dynamic games 1: Subgame perfect equilibrium, credible and non-credible threats

EASTER BREAK

Week 6: Dynamic games 2: commitment, pre-emption, first mover advantage

Week 7: Dynamic games 3: finitely and infinitely repeated games

Week 8: Midterm Exam (Wednesday 6th May 2020 - 11.30am)

Week 9: Bayesian games

Week 10: Dynamic Bayesian games 1: moral hazard

Week 11: Dynamic Bayesian games 2: adverse selection

Week 12: Dynamic Bayesian games 3: screening

Week 13: Dynamic Bayesian games 4: signaling and communication

Week 16: Final Exam - 30th June 11.00-13.00

Reading list


Association in the course directory

Last modified: Mo 07.09.2020 15:19