Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.
040216 KU Macroeconomics and Inequality (MA) (2026S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 09.02.2026 09:00 bis Di 17.02.2026 12:00
- Anmeldung von Di 24.02.2026 09:00 bis Mi 25.02.2026 12:00
- Abmeldung bis Sa 14.03.2026 23:59
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Donnerstag 05.03. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 06.03. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Freitag 13.03. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 19.03. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 20.03. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 26.03. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 27.03. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 16.04. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 17.04. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 23.04. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 24.04. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 30.04. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Donnerstag 07.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 08.05. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Freitag 15.05. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 21.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 22.05. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 28.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 29.05. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Freitag 05.06. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 11.06. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 12.06. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 18.06. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 19.06. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Donnerstag 25.06. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Freitag 26.06. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
– active participation
– assignments
– midterm exam (in-class, closed-book)
– final exam (in-class, closed-book)
– assignments
– midterm exam (in-class, closed-book)
– final exam (in-class, closed-book)
Mindestanforderungen und Beurteilungsmaßstab
In order to pass, students must achieve at least 50% in at least one of the exams. In that case the total grade is composed as follows.– 30%: midterm exam
– 30%: final exam
– 30%: assignments
– 10%: active participation– Grading scheme
– 1: [89, 100]
– 2: [76, 89)
– 3: [63, 76)
– 4: [50, 63)
– 5: [0, 50)NOTE: If both exams are failed (<50%) the total grade will be 5.
– 30%: final exam
– 30%: assignments
– 10%: active participation– Grading scheme
– 1: [89, 100]
– 2: [76, 89)
– 3: [63, 76)
– 4: [50, 63)
– 5: [0, 50)NOTE: If both exams are failed (<50%) the total grade will be 5.
Prüfungsstoff
The exams cover the material of all lectures, lecture notes and assignments prior to the exam. Representative exercises will be provided and practiced throughout the course.
Literatur
– lecture notes
– selected chapters of Jappelli, T. and L. Pistaferri (2017): The economics of consumption: Theory and evidence, Oxford University Press. (available as an online resource at the library)
– research articles
– https://julia.quantecon.org/intro.htmlTentative list of articles:
* Drechsel-Grau, M. and F. Greimel (2025): “Falling Behind: Has Rising Inequality Fueled the American Debt Boom?” The Review of Financial Studies.
* Guvenen, F., G. Kambourov, B. Kuruscu, S. Ocampo, and D. Chen (2023): “Use it or lose it: Efficiency and redistributional effects of wealth taxation,” Quarterly Journal of Economics.
* Huber, J., F. Kindermann, and S. Kohls (2025): “Rental Markets and Wealth Inequality in the Euro Area,” Working paper.
* Hubmer, J., P. Krusell, and A. Smith (2021): “Sources of US wealth inequality: Past, present, and future”, NBER Macroeconomics Annual.
* Kaplan, G. and G. L. Violante (2018): “Microeconomic heterogeneity and macroeconomic shocks,” Journal of Economic Perspectives.
– selected chapters of Jappelli, T. and L. Pistaferri (2017): The economics of consumption: Theory and evidence, Oxford University Press. (available as an online resource at the library)
– research articles
– https://julia.quantecon.org/intro.htmlTentative list of articles:
* Drechsel-Grau, M. and F. Greimel (2025): “Falling Behind: Has Rising Inequality Fueled the American Debt Boom?” The Review of Financial Studies.
* Guvenen, F., G. Kambourov, B. Kuruscu, S. Ocampo, and D. Chen (2023): “Use it or lose it: Efficiency and redistributional effects of wealth taxation,” Quarterly Journal of Economics.
* Huber, J., F. Kindermann, and S. Kohls (2025): “Rental Markets and Wealth Inequality in the Euro Area,” Working paper.
* Hubmer, J., P. Krusell, and A. Smith (2021): “Sources of US wealth inequality: Past, present, and future”, NBER Macroeconomics Annual.
* Kaplan, G. and G. L. Violante (2018): “Microeconomic heterogeneity and macroeconomic shocks,” Journal of Economic Perspectives.
Zuordnung im Vorlesungsverzeichnis
E1.4.
Letzte Änderung: Do 26.02.2026 10:45
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. including housing markets)
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.