605.202 (22W) MANSIO Workshop
Überblick
Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
- Lehrende/r
- LV-Titel englisch MANSIO Workshop
- LV-Art Seminar (prüfungsimmanente LV )
- LV-Modell Präsenzlehrveranstaltung
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 4.0
- Anmeldungen 2 (10 max.)
- Organisationseinheit
- Unterrichtssprache Englisch
- mögliche Sprache/n der Leistungserbringung Englisch
- LV-Beginn 16.11.2022
-
Anmerkungen
Target group: Doctoral students in economics and management,especially those in the doctoral programme MANSIO. Researchers in quantitativemacroeconomics and management. Expected attendance: 10 (maximum).
Attendance: It is possible to attend only Part One or Part Two. In Part One, attending the Laboratory sessions (Thursday and Friday) makes sense only if the theory sessions (Wednesday) have been attended (or if the content of these sessions is known already from previous work).
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
(1) Participants shall be enabled to model an economy based on agent-based micro foundations.
(2) Participants will be confronted with new scientific results in quantitative economics and management.
Lehrmethodik
Detailed program and speakers:
Part one: Agent-based macroeconomics
Wednesday, 16 November: Room Z.0.18, University main building.
Morning session 1 (9:00–10:30): Domenico Delli Gatti (Catholic University in Milan, Italy): Introduction to agent-based macroeconomics. Literature: Dawid H., Delli Gatti D. (2018), Agent-Based Macroeconomics, in Handbook of Computational Economics, Vol. 4, pp. 63-156.
Morning session 2 (11:00–12:30): Mauro Gallegati (Marche Polytechnic University, Ancona, Italy; via ZOOM): Theory and methodology of agent-based economics and complexity economics. Additional literature: (1) Caiani A., Russo A., Palestrini A., Gallegati M. (2016), Economics with Heterogeneous Interacting Agents: A Practical Guide to Agent Based Modelling, Springer. (2) Gallegati M. (2018), Complex Agent-Based Models, Springer.
Afternoon session (14:30–16:30): Domenico Delli Gatti: Applications of agent-based models. Literature: (1) Delli Gatti D., Gallegati M., Greenwald B., Russo A., Stiglitz J.E. (2010), The Financial Accelerator in an Evolving Credit Network, Journal of Economic Dynamics and Control, 34(9): 1627-1650. (2) Delli Gatti D., Grugni E. (2021), Breaking Bad: Supply Chain Disruptions in a Streamlined Agent-Based Model, European Journal of Finance, 10.1080/1351847X.2021.1963300.
Thursday, 17 November: Room B02.2.13, Lakeside Park. It is recommended that all participants have a device with R-studio installed. The presenter will build a simplified agent-based macro model step-by-step. The R codes will be shared with the participants at the end of the course.
Morning session (9:00–12:30): Alberto Russo (Marche Polytechnic University, Ancona, Italy, and Jaume I University, Castellón de la Plana, Spain): Agent-based macro Laboratory I.
Afternoon session (14:30–16:30): Alberto Russo: Agent-based macro Laboratory II.
Friday, 18 November: Room N.2.38, University main building.
Morning session (9:00–12:30): Alberto Russo: Agent-based macro Laboratory III.
Afternoon session (14:30–16:30): Alberto Russo: Agent-based macro Laboratory IV. Q&A session.
Additional references:
Botta A., Caverzasi E., Russo A., Gallegati M., Stiglitz J.E. (2021), Inequality and Finance in a Rent Economy, Journal of Economic Behavior and Organization, 183: 998-1029.
Delli Gatti D., Fagiolo G., Gallegati M., Richiardi M., Russo A. (2018), Agent-Based Models in Economics: A Toolkit, Cambridge University Press.
Saturday, 19 November: Room B02a.2.05, Lakeside Park .
If required: Morning session (9:00–12:30): Domenico Delli Gatti, Mauro Gallegati, Alberto Russo: Final discussion and Q&A session.
Afternoon session (13:00–15:30):
Part Two: New results in optimal control applications
Gustav Feichtinger (Vienna University of Technology): The optimal momentum of population growth and decline.
Mikulas Luptacik (Vienna University of Economics and Business): Efficiency effects of mergers: Harmonising merged production.
Inhalt/e
(1) Introduction to agent-based modelling with applications to macroeconomics.
(2) Presentation of brand-new ideas in quantitative economics and management.
Erwartete Vorkenntnisse
Undergraduate macroeconomics; basic mathematics.
Literatur
see above
Prüfungsinformationen
Prüfungsmethode/n
Students wanting to receive grades (4 ECTS points) will be expected to
- participate in the course and contribute to the discussions (15%),
- write a brief essay (10–15 pages, in English or German) on some topic of the course to be negotiated with Prof. Neck (70%; make a proposal to Reinhard.neck@aau.at until 15 December),
- present and discuss their essay at the end of the semester (15 %; date to be determined later).
Prüfungsinhalt/e
see above
Beurteilungskriterien/-maßstäbe
see above
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Doktoratsprogramm Modeling, Simulation and Optimization in Business and Economics
(SKZ: ---, Version: 16W.2)
-
Fach: Modelling, Simulation, Optimization in Business and Economics
(Pflichtfach)
-
Modelling, Simulation, Optimization in Business and Economics (
0.0h XX / 0.0 ECTS)
- 605.202 MANSIO Workshop (2.0h SE / 4.0 ECTS)
-
Modelling, Simulation, Optimization in Business and Economics (
0.0h XX / 0.0 ECTS)
-
Fach: Modelling, Simulation, Optimization in Business and Economics
(Pflichtfach)
- Doktoratsstudium Doktoratsstudium der Sozial- und Wirtschaftswissenschaften
(SKZ: 300, Version: 18W.1)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
0.0h XX / 80.0 ECTS)
- 605.202 MANSIO Workshop (2.0h SE / 4.0 ECTS)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
0.0h XX / 80.0 ECTS)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
- Doktoratsstudium Doktoratsstudium der Sozial- und Wirtschaftswissenschaften
(SKZ: 784, Version: 12W.4)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
40.0h XX / 80.0 ECTS)
- 605.202 MANSIO Workshop (2.0h SE / 4.0 ECTS)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
40.0h XX / 80.0 ECTS)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
- Doktoratsstudium Doktoratsstudium der Technischen Wissenschaften
(SKZ: 700, Version: 18W.1)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
0.0h XX / 32.0 ECTS)
- 605.202 MANSIO Workshop (2.0h SE / 4.0 ECTS)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
0.0h XX / 32.0 ECTS)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
- Doktoratsstudium Doktoratsstudium der Technischen Wissenschaften
(SKZ: 786, Version: 12W.4)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
16.0h XX / 32.0 ECTS)
- 605.202 MANSIO Workshop (2.0h SE / 4.0 ECTS)
-
Studienleistungen gem. § 3 Abs. 2a des Curriculums (
16.0h XX / 32.0 ECTS)
-
Fach: Studienleistungen gem. § 3 Abs. 2a des Curriculums
(Pflichtfach)