Advanced Search
MyIDEAS: Login to save this paper or follow this series

Statistical Equilibrium Models for Sparse Economic Networks

Contents:

Author Info

  • Leonardo Bargigli

    (DISEI, Università degli Studi di Firenze)

Abstract

Real markets can be naturally represented as networks, and they share with other social networks the fundamental property of sparsity, whereby agents are connected by l = O (n) relationships. The exponential networks model introduced by Park and Newman can be extended in order to deal with this property. When compared with alternative statistical models of a given real network, this extended model provides a better statistical justification for the observed network values. Consequently, it provides more reliable maximum entropy estimates of partially known networks than previously known ME techniques.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.disei.unifi.it/upload/sub/pubblicazioni/repec/pdf/wp25_2013.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa in its series Working Papers - Economics with number wp2013_25.rdf.

as in new window
Length: 24 pages
Date of creation: 2013
Date of revision:
Handle: RePEc:frz:wpaper:wp2013_25.rdf

Contact details of provider:
Postal: Via delle Pandette 9 50127 - Firenze - Italy
Phone: +39 055 4374582
Fax: +39-055-2759550
Email:
Web page: http://www.disei.unifi.it/
More information through EDIRC

Related research

Keywords: networks;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Stefano Viaggiu & Andrea Lionetto & Leonardo Bargigli & Michele Longo, 2011. "Statistical ensembles for money and debt," Papers 1109.0891, arXiv.org, revised Jul 2012.
  2. Iori, G. & Masi, G. D. & Precup, O. V. & Gabbi, G. & Caldarelli, G., 2005. "A network analysis of the Italian oversight money market," Working Papers, Department of Economics, City University London 05/05, Department of Economics, City University London.
  3. Iacopo Mastromatteo & Elia Zarinelli & Matteo Marsili, 2011. "Reconstruction of financial network for robust estimation of systemic risk," Papers 1109.6210, arXiv.org, revised Feb 2012.
  4. Bargigli, Leonardo & Gallegati, Mauro, 2011. "Random digraphs with given expected degree sequences: A model for economic networks," Journal of Economic Behavior & Organization, Elsevier, Elsevier, vol. 78(3), pages 396-411, May.
Full references (including those not matched with items on IDEAS)

Citations

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:frz:wpaper:wp2013_25.rdf. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Giorgio Ricchiuti).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.