Artikel

Interactions in the New Keynesian DSGE models: The Boltzmann-Gibbs machine and social networks approach

The BoltzmannGibbs distribution is currently widely used in economic modeling. One of the applications is integrated with the DSGE (Dynamic Stochastic General Equilibrium) model. However, a question that arises concerns whether the BoltzmannGibbs distribution can be directly applied, without considering the underlying social network structure more seriously, even though the social network structure is an important factor of social interaction. Therefore, this paper proposes two kinds of agent-based DSGE models. The first one belongs to mesoscopic modeling in formulating the social interaction with the BoltzmannGibbs machine, and the other one belongs to microscopic modeling in that it is augmented by the network-based ant machine. By comparing the population dynamics generated by those different agent-based DSGE models, we find that the BoltzmannGibbs machine offers a good approximation of herding behavior. However, it is difficult to envisage the population dynamics produced by the BoltzmannGibbs machine and by the network-based ant machine as having the same distribution, particularly in popular empirical network structures such as small world networks and scale-free networks. Thus, the social interaction behavior may not be replaced by the BoltzmannGibbs distribution.

Sprache
Englisch

Erschienen in
Journal: Economics: The Open-Access, Open-Assessment E-Journal ; ISSN: 1864-6042 ; Volume: 6 ; Year: 2012 ; Issue: 2012-26 ; Pages: 1-32 ; Kiel: Kiel Institute for the World Economy (IfW)

Klassifikation
Wirtschaft
Computational Techniques; Simulation Modeling
Network Formation and Analysis: Theory
General Aggregative Models: Keynes; Keynesian; Post-Keynesian
Business Fluctuations; Cycles
Thema
New Keynesian DSGE models
network-based ant model
networks
BoltzmannGibbs distribution
Dynamisches Gleichgewicht
Finanzmarktkrise
Adaptive Erwartung
Soziales Netzwerk
Soziale Beziehungen
Thermodynamik
Statistische Verteilung
Theorie

Ereignis
Geistige Schöpfung
(wer)
Chen, Shu-heng
Chang, Chia-ling
Ereignis
Veröffentlichung
(wer)
Kiel Institute for the World Economy (IfW)
(wo)
Kiel
(wann)
2012

DOI
doi:10.5018/economics-ejournal.ja.2012-26
Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Chen, Shu-heng
  • Chang, Chia-ling
  • Kiel Institute for the World Economy (IfW)

Entstanden

  • 2012

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