BUSINESS CYCLE FLUCTUATIONS AND FIRMS' SIZE DISTRIBUTION DYNAMICS
Domenico Delli Gatti,
Corrado Di Guilmi,
Edoardo Gaffeo,
Gianfranco Giulioni,
Mauro Gallegati and
Antonio Palestrini ()
Additional contact information
Gianfranco Giulioni: Department of Economics, Università, Politecnica delle Marche, Piaz.le Martelli 8, I-60121 Ancona, Italy
Advances in Complex Systems (ACS), 2004, vol. 07, issue 02, 223-240
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.
Keywords: Firms' size distribution; power law; business cycle (search for similar items in EconPapers)
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525904000160
Access to full text is restricted to subscribers
Related works:
Chapter: BUSINESS CYCLE FLUCTUATIONS AND FIRMS’ SIZE DISTRIBUTION DYNAMICS (2004) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:07:y:2004:i:02:n:s0219525904000160
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219525904000160
Access Statistics for this article
Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer
More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().