DocumentCode :
2380781
Title :
Heterogeneous agent models in economics: A study of heterogenous productivity of sectors
Author :
Tonita, Robert ; Gonçalves, Jorge ; Vinnicombe, Glenn
Author_Institution :
Dept. of Eng., Cambridge Univ., Cambridge
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
336
Lastpage :
341
Abstract :
Macroeconomic modeling is undergoing a change from the ground up. Previously models based on fully rational representative agents were constructed to give macroeconomics solid 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.
Keywords :
Markov processes; macroeconomics; heterogeneous agent models; heterogenous productivity; jump Markov process; macroeconomic modeling; representative agent models; Aggregates; Control theory; Economics; Electric shock; Feedback; Fluctuations; Government; Macroeconomics; Microeconomics; Productivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
ISSN :
0743-1619
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2008.4586513
Filename :
4586513
Link To Document :
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