|Course name||Lecture: Digital Economics|
|Subtitle||Module: Digital Economics|
|Course number||lv2715 & lv2716|
|Current number of participants||29|
|maximum number of participants||30|
|Home institute||Institut für Digital Economics (W-5)|
|Courses type||Lecture in category Teaching|
|Next date||Mon., 05.12.2022 09:15 - 10:45, Room: (H - 0.02)
|Pre-requisites||Knowledge of economics as taught in the Economics module is expected.|
▪ Memo 1: Summarize a topic covered in the lecture (due on 27 November 2022).
▪ Memo 2: Critically analyze a relevant research paper (due on 18 December 2022).
▪ Presentation: Develop an applied research proposal (handout due on 22 January 2023,
presentation to be held in class during the last two weeks of the term).
Memo 1 and the presentation can be prepared in groups, depending on the number of course participants. Memo 2 will be prepared individually. All three components will be graded jointly at the end of the term.
Please note that all course participants have to be present for the presentation sessions on 23 January 2023 and 30 January 2023.
|Performance record||The examination is an FFA (subject theoretical and practical work) consisting of three components: two memos and one presentation. These three components are weighted equally and comprise approx. 10–15 pages in total.|
▪ Easley, D., & Kleinberg, J. (2010). Networks, Crowds, and Markets. Cambridge University Press. Haeringer, G. (2018). Market Design: Auctions and Matching. MIT Press.
▪ Parkes, D. C., & Seuken, S. (2020). Algorithmic Economics: A Design Approach. Unpublished. Pass, R. (2019). A Course in Networks and Markets: Game-theoretic Models and Reasoning. MIT Press.
▪ Weimann, J., & Brosig-Koch, J. (2019). Methods in Experimental Economics. Springer.