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Large-Scale Modeling of Economic Systems

Holcombe, Mike ; Coakley, Simon ; Kiran, Mariam ; Chin, Shawn ; Greenough, Chris ; Worth, David ; Cincotti, Silvano ; Raberto, M. ; Teglio, Andrea ; Deissenberg, Christophe ; Hoog, Sander van der ; Dawid, Herbert ; Gemkow, Simon ; Harting, Philipp ; Neugart, Michael (2024)
Large-Scale Modeling of Economic Systems.
In: Complex Systems, 2013, 22 (2)
doi: 10.26083/tuprints-00027388
Artikel, Zweitveröffentlichung, Verlagsversion

Dies ist die neueste Version dieses Eintrags.

Kurzbeschreibung (Abstract)

Following the events of the credit crunch and the onset of a global recession, alternative ways of modeling modern economies and mechanisms for carrying out policy analysis are now an urgent priority. Traditional mathematical economics is widely viewed to have been compromised through gross simplifications with many assumptions that are now seen to be unjustified. New ways of looking at economics that are more grounded in reality are required, and agent-based computational economics is now receiving a lot of attention. Although the ideas are not new, the previous attempts to use this approach have been largely limited by the inability to model realistically large systems with millions of complex agents. Without this capability, the usefulness of the approach is limited. The EU-STREP project EURACE brought together a consortium of leading economists, experts in parallel supercomputing, and the designers of the FLAME framework to build the largest and most complete model of the European Union economy ever built.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Holcombe, Mike ; Coakley, Simon ; Kiran, Mariam ; Chin, Shawn ; Greenough, Chris ; Worth, David ; Cincotti, Silvano ; Raberto, M. ; Teglio, Andrea ; Deissenberg, Christophe ; Hoog, Sander van der ; Dawid, Herbert ; Gemkow, Simon ; Harting, Philipp ; Neugart, Michael
Art des Eintrags: Zweitveröffentlichung
Titel: Large-Scale Modeling of Economic Systems
Sprache: Englisch
Publikationsjahr: 16 September 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2013
Ort der Erstveröffentlichung: Champaign
Verlag: Complex Systems Publications
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Complex Systems
Jahrgang/Volume einer Zeitschrift: 22
(Heft-)Nummer: 2
DOI: 10.26083/tuprints-00027388
URL / URN: https://tuprints.ulb.tu-darmstadt.de/27388
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Herkunft: Zweitveröffentlichungsservice
Kurzbeschreibung (Abstract):

Following the events of the credit crunch and the onset of a global recession, alternative ways of modeling modern economies and mechanisms for carrying out policy analysis are now an urgent priority. Traditional mathematical economics is widely viewed to have been compromised through gross simplifications with many assumptions that are now seen to be unjustified. New ways of looking at economics that are more grounded in reality are required, and agent-based computational economics is now receiving a lot of attention. Although the ideas are not new, the previous attempts to use this approach have been largely limited by the inability to model realistically large systems with millions of complex agents. Without this capability, the usefulness of the approach is limited. The EU-STREP project EURACE brought together a consortium of leading economists, experts in parallel supercomputing, and the designers of the FLAME framework to build the largest and most complete model of the European Union economy ever built.

Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-273886
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 300 Sozialwissenschaften > 330 Wirtschaft
Fachbereich(e)/-gebiet(e): 01 Fachbereich Rechts- und Wirtschaftswissenschaften
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete > Fachgebiet Finanzwissenschaft und Wirtschaftspolitik
Hinterlegungsdatum: 16 Sep 2024 09:42
Letzte Änderung: 17 Sep 2024 08:18
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