040120 SE Topics in data-driven decision making (MA) (2020W)
Track in Data Analysis und Track in Behavioral Economics and Experiments and Track in Policy Evaluation
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 14.09.2020 09:00 to We 23.09.2020 12:00
- Registration is open from Mo 28.09.2020 09:00 to We 30.09.2020 12:00
- Deregistration possible until Sa 31.10.2020 12:00
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
For our meetings we use BB Collaborate (login through Moodle).
- Tuesday 06.10. 13:15 - 14:45 Digital
- Tuesday 13.10. 13:15 - 14:45 Digital
- Tuesday 20.10. 13:15 - 14:45 Digital
- Tuesday 27.10. 13:15 - 14:45 Digital
- Tuesday 03.11. 13:15 - 14:45 Digital
- Tuesday 10.11. 13:15 - 14:45 Digital
- Tuesday 17.11. 13:15 - 14:45 Digital
- Tuesday 24.11. 13:15 - 14:45 Digital
- Tuesday 01.12. 13:15 - 14:45 Digital
- Tuesday 15.12. 13:15 - 14:45 Digital
- Tuesday 12.01. 13:15 - 14:45 Digital
- Tuesday 19.01. 13:15 - 14:45 Digital
- Tuesday 26.01. 13:15 - 14:45 Digital
Information
Aims, contents and method of the course
Aims, content, and methods: Digital services permeate almost every aspect of life, reshaping business transactions and social interactions alike. In this course, we investigate recent advances in data-driven approaches to decision making relevant to economics and management. The aim of this course is to introduce students to recent research trends and to learn and discuss critically how these tools can used for decision making in organizations.The course consists of two parts. In part 1, we review theoretical concepts related to causal inference through randomized experiments as well as concepts of prediction. In part 2, we study how these concepts can be applied to a number of relevant questions in economics and management. The fields from which applications are selected include behavioral economics, game theory, organizational behavior and industrial organization.
Assessment and permitted materials
Assessment: The assessment is based on presentations (of R exercises and research papers), and a paper ('Seminararbeit').
Note that it is imperative to participate in the first session. Students who cannot (for a good reason) participate in the first session should send me an e-mail one week before the first session.
Note that it is imperative to participate in the first session. Students who cannot (for a good reason) participate in the first session should send me an e-mail one week before the first session.
Minimum requirements and assessment criteria
Participants should have taken an introductory course to the field of experimental economics, for example the MA course “Behavioral and Experimental Economics” (UK040832). Students with comparable backgrounds can also be admitted but need to provide evidence that their knowledge is comparable. In addition, a sound knowledge of microeconomics, microeconometrics and R (for exercises) is required. The course language is English.
Examination topics
Students solve R exercises and write a seminar paper; they also present their R exercises and and their seminar paper topic.Exercises count 20%, the presentation counts 30% and the written work counts 50% of the grade. At total of >50% is required for a passing grade.
Reading list
handout/moodle
Association in the course directory
Last modified: Fr 12.05.2023 00:12