EconPapers    
Economics at your fingertips  
 

Agent-Based Modelling: A Methodology for Neo-Schumpeterian Economics

Andreas Pyka () and Giorgio Fagiolo

No 272, Discussion Paper Series from Universitaet Augsburg, Institute for Economics

Abstract: Modellers have had to wrestle with an unavoidable trade-off between the demand of a general theoretical approach and the descriptive accuracy required to model a particular phenomenon. A new class of simulation models has shown to be well adapted to this challenge, basically by shifting outwards this trade-off: So-called agent-based models (ABMs henceforth) are increasingly used for the modelling of socio-economic developments. Our paper deals with the new requirements for modelling entailed by the necessity to focus on qualitative developments, pattern formation, etc. which is generally highlighted within Neo-Schumpeterian Economics and the possibilities given by ABMs.

Keywords: Simulation; Neo-Schumpeterian Economics; Agents (search for similar items in EconPapers)
JEL-codes: B52 O30 (search for similar items in EconPapers)
Pages: pages
Date: 2005-02
New Economics Papers: this item is included in nep-cbe, nep-cmp, nep-gth, nep-hpe, nep-ino, nep-mic and nep-pke
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (36) Track citations by RSS feed

Downloads: (external link)
https://vwl.wiwi.uni-augsburg.de/vwl/institut/paper/272.pdf (application/pdf)

Related works:
Chapter: Agent-based Modelling: A Methodology for Neo-Schumpetarian Economics (2007) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aug:augsbe:0272

Access Statistics for this paper

More papers in Discussion Paper Series from Universitaet Augsburg, Institute for Economics Universitaetsstrasse 16, D-86159 Augsburg, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Dr. Simone Raab-Kratzmeier ().

 
Page updated 2024-02-16
Handle: RePEc:aug:augsbe:0272