Business Cycle Fluctuations and Firms - Size Distribution Dynamics

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dc.contributor.author Delli Gatti, Domenico en_US
dc.contributor.author Di Guilmi, Corrado en_US
dc.contributor.author Gaffeo, Edoardo en_US
dc.contributor.author Gallegati, Mauro en_US
dc.contributor.author Giulioni, Gianfranco en_US
dc.contributor.author Palestrini, Antonio en_US
dc.contributor.editor en_US
dc.date.accessioned 2010-05-28T09:42:26Z
dc.date.available 2010-05-28T09:42:26Z
dc.date.issued 2004 en_US
dc.identifier 2008004087 en_US
dc.identifier.citation Delli Gatti Domenico et al. 2004, 'Business Cycle Fluctuations and Firms - Size Distribution Dynamics', World Scientific, vol. 7, no. 2, pp. 223-240. en_US
dc.identifier.issn 0219-5259 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/8317
dc.description.abstract Power law behavior is an emerging property of many economic models. In this paper we emphasize the fact that power law distributions are persistent but not time invariant. In fact, the scale and shape of the firms' size distribution fluctuate over time. In particular, on a log?log space, both the intercept and the slope of the power law distribution of firms' size change over the cycle: during expansions (recessions) the straight line representing the distribution shifts up and becomes less steep (steeper). We show that the empirical distributions generated by simulations of the model presented in Ref. 11 mimic real empirical distributions remarkably well. en_US
dc.language en_US
dc.publisher World Scientific en_US
dc.title Business Cycle Fluctuations and Firms - Size Distribution Dynamics en_US
dc.parent Advances in Complex Systems en_US
dc.journal.volume 7 en_US
dc.journal.number 2 en_US
dc.publocation USA en_US
dc.identifier.startpage 223 en_US
dc.identifier.endpage 240 en_US
dc.cauo.name University of Technology, Sydney en_US
dc.conference Verified OK en_US
dc.for 010200 en_US
dc.personcode 0000047941 en_US
dc.personcode 105951 en_US
dc.personcode 0000049708 en_US
dc.personcode 0000018259 en_US
dc.personcode 0000049709 en_US
dc.personcode 0000018261 en_US
dc.percentage 100 en_US
dc.classification.name Applied Mathematics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords business cycle Firms' size distribution power law en_US


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