Reference : Heterogeneous agent models in economics: a study of heterogeneous productivity of sectors
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
Heterogeneous agent models in economics: a study of heterogeneous productivity of sectors
Tonita, R. J. mailto [> >]
Goncalves, Jorge mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Vinnicombe, G. mailto [> >]
Proceedings of the 2008 American Control Conference
2008 American Control Conference
June 11-13, 2008
[en] Macroeconomic modeling is undergoing a change from the ground up. Previously models based on fully rational representative agents were constructed to give macroeconomics soli microeconomic foundations. However the representative agent models have been shown to be inconsistent with empirical evidence and a new method of approach has emerged, one based on heterogeneity of agents. Recently heterogenous models have been used to simulate expected outcomes but due to their complexity little analytic work has been done. In this paper a basic model of the macro economy, with heterogeneous sectors differentiated by productivity, and driven by a jump Markov process, is investigated and steady state solutions for a sector’s output variance are discovered. We adjust the model to include a gain term, to represent a sector’s reaction to its error signal, excess demand, and then linearize the transition rates and apply the fluctuation dissipation theorem to solve the model.

File(s) associated to this reference

Fulltext file(s):

Limited access
Heterogeneous agent models in economics a study of heterogeneous productivity of sectors.pdfPublisher postprint208.91 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.