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Heterogeneous agent models in economics: a study of heterogeneous productivity of sectors
Tonita, R. J.; Goncalves, Jorge; Vinnicombe, G.
2008In Proceedings of the 2008 American Control Conference
Peer reviewed
 

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Abstract :
[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.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Tonita, R. J.
Goncalves, Jorge ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Vinnicombe, G.
Language :
English
Title :
Heterogeneous agent models in economics: a study of heterogeneous productivity of sectors
Publication date :
2008
Event name :
2008 American Control Conference
Event place :
Seattle, United States
Event date :
June 11-13, 2008
Main work title :
Proceedings of the 2008 American Control Conference
Publisher :
IEEE
ISBN/EAN :
9781424420780
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 17 March 2015

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