Universität Wien
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040216 KU Macroeconomics and Inequality (MA) (2025S)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
Th 06.03. 11:30-13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock

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

Classes on May 2, May 30 and June 20 (bridging days) are backup slots. They will only take place if needed (e.g. to make up for cancelled lectures in case of lecturer's illness).

  • Friday 07.03. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 13.03. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 14.03. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 20.03. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 21.03. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 27.03. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 28.03. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 03.04. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 04.04. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 10.04. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 11.04. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 02.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 08.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 09.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 15.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 16.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 22.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 23.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 30.05. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 05.06. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 06.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 12.06. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 13.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 20.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 26.06. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 27.06. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

This course provides students with a macroeconomic perspective on important topics such as wealth and income inequality, housing markets, and demographic change and the climate crisis. Differences between individuals (i.e. "heterogeneity") play a central role in all these topics.

This course relies on state-of-the-art heterogeneous agent models (à la Bewley-Huggett-Aiyagari) which are among the workhorse models in modern macro. Students will learn to analyze these models as well as to apply them to practical examples on the computer.

1.) Methods: Markov Chains, Dynamic Programming
2.) Data: Distributional National Accounts, Survey of Consumer Finances, Survey of Consumption Expenditures
3.) Models: Macroeconomic models with heterogeneous agents in various flavors (e.g. housing markets, demographic change, environmental damages)
4.) Treating the model output as a dataset, use it to analyze interesting phenomena (housing boom, demographic change, climate change, etc.)

The aim of this course is to develop a sound command of heterogeneous agent models that allows students to understand state-of-the-art research in the field. Students also start working on numerical applications in the Julia programming language.

Assessment and permitted materials

Evaluation consists of
– Midterm exam
– Assignments
– Participation

Minimum requirements and assessment criteria

– 40%: midterm exam
– 40%: 6-10 short computer assignments in groups of 3; lowest grade will be dropped (these are meant to be simple, enlightening and fun!)
– 20%: participation

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

Examination topics

The midterm exam covers the material of all lectures, lecture notes and assignments covered up until 6 days before the exam date. Representative exercises will be provided and practiced throughout the course.

Reading list

– lecture notes
– research articles
– https://julia.quantecon.org/intro.html

Association in the course directory

Last modified: Th 23.01.2025 11:05