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Title:Interactions in the New Keynesian DSGE models: The Boltzmann-Gibbs machine and social networks approach PDF Logo
Authors:Chen, Shu-heng
Chang, Chia-ling
Issue Date:2012
Citation:[Journal:] Economics: The Open-Access, Open-Assessment E-Journal [Volume:] 6 [Issue:] 2012-26 [Pages:] 1-32
Series/Report no.:Economics 2012-26
Abstract: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.
Subjects:New Keynesian DSGE models
network-based ant model
networks
BoltzmannGibbs distribution
JEL:C63
D85
E12
E3
E32
Persistent Identifier of the first edition:doi:10.5018/economics-ejournal.ja.2012-26
Creative Commons License:http://creativecommons.org/licenses/by-nc/2.0/de/deed.en
Document Type:Article
Appears in Collections:Economics: The Open-Access, Open-Assessment E-Journal - Journal Articles

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