Universität Wien

040250 KU Networks in Economics and Finance (BA) (2024W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
Moodle
Fr 13.12. 15:00-16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß

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. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Friday 04.10. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 07.10. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 11.10. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 14.10. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 18.10. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 21.10. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 25.10. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 28.10. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 04.11. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 08.11. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 11.11. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 15.11. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 18.11. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 22.11. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 25.11. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 29.11. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 02.12. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 06.12. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 09.12. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 16.12. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 10.01. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 13.01. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 17.01. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 20.01. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 24.01. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 27.01. 11:30 - 13:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 31.01. 15:00 - 16:30 Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Aims, contents and method of the course

The lecture introduces applies network theory to understand economic phenomena. To build intuition for the theoretical concepts from the lectures, students are provided with interactive visualizations and numerical simulations (see https://greimel.github.io/networks-course/Spring24/ for last year's material on MSc level). At the end of each topic we will cover exercises that are representative for the final exam.

Upon successful completion of this course, students are able to:
– structure and visualize data on interactions as networks;
– explain the main characteristics of complex networks and know network formation models that capture these characteristics;
– represent society, financial markets and the economy as networks;
– analyse the propagation of a disease, information and economic shocks in networks;
– simulate models of social networks, financial networks and production networks;
– construct networks from datasets like Input-Output tables, the Social Connectedness Index, data scraped from social media;
– find the most influential and most vulnerable nodes and links in a network, both theoretically and empirically;
– assess the impact of network interactions on economic behaviour and outcomes using game theory.

Assessment and permitted materials

– Participation
– Assignments
– Final Exam (in-class, closed-book)

Minimum requirements and assessment criteria

– 40%: final exam
– 50%: 10 short computer assignments in groups of 3; two lowest grades will be dropped (these are meant to be simple, enlightening and fun!)
– 10%: participation

– Grading scheme
– 1: [89, 100]
– 2: [76, 89)
– 3: [63, 76)
– 4: [50, 63)
– 5: [0, 50)

Examination topics

The final exam covers the material of all lectures, lecture notes and assignments. Representative exercises will be provided and practiced throughout the course.

Reading list

Lecture notes and selected research articles, e.g.,

– Bailey, Cao, Kuchler, Stroebel & Wong (2018). Social Connectedness: Measurement, Determinants, and Effects. Journal of Economic Perspectives.
– Ballester & Calvó-Armengol & Zenou (2006). Who's Who in Networks. Wanted: The Key Player. Econometrica.
– Acemoglu, Ozdaglar & Tahbaz-Salehi (2015). Systemic Risk and Stability in Financial Networks. American Economic Review.
– Carvalho (2014). From Micro to Macro via Production Networks. Journal of Economic Perspectives
– Bachmann, Baqaee, Bayer, Kuhn, Löschel, Moll, Peichl, Pittel & Schularick (2022). What if? The Economic Effects for Germany of a Stop of Energy Imports from Russia. Policy Report.
– Drechsel-Grau & Greimel (2024). Falling Behind: Has Rising Inequality Fueled the American Debt Boom? Working Paper.

Association in the course directory

Last modified: Th 03.10.2024 16:45