Econometric Models of Network Formation

Aureo de Paula

Annual Review of Economics, 2020, vol. 12, issue 1, 775-799

Abstract: This article provides a selective review of the recent literature on econometric models of network formation. I start with a brief exposition on basic concepts and tools for the statistical description of networks; then I offer a review of dyadic models, focusing on statistical models on pairs of nodes, and I describe several developments of interest to the econometrics literature. I also present a discussion of nondyadic models in which link formation might be influenced by the presence or absence of additional links, which themselves are subject to similar influences. This argument is related to the statistical literature on conditionally specified models and the econometrics of game theoretical models. I close with a (nonexhaustive) discussion of potential areas for further development.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (36)

Downloads: (external link)
https://doi.org/10.1146/annurev-economics-093019-113859
Full text downloads are only available to subscribers. Visit the abstract page for more information.

Related works:
Working Paper: Econometric Models of Network Formation (2020)
Working Paper: Econometric Models of Network Formation (2020)
Working Paper: Econometric Models of Network Formation (2020)
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:anr:reveco:v:12:y:2020:p:775-799

Ordering information: This journal article can be ordered from
http://www.annualreviews.org/action/ecommerce

DOI: 10.1146/annurev-economics-093019-113859

Access Statistics for this article

More articles in Annual Review of Economics from Annual Reviews Annual Reviews 4139 El Camino Way Palo Alto, CA 94306, USA.
Bibliographic data for series maintained by http://www.annualreviews.org ().