Testing Unilateral and Bilateral Link Formation
Marcel Fafchamps and
Margherita Comola ()
Working Papers from eSocialSciences
Abstract:
The literature has shown that network architecture depends crucially on whether links are formed unilaterally or bilaterally, that is, on whether the consent of both nodes is required for a link to be formed. They propose a test of whether network data is best seen as an actual link or willingness to link and, in the latter case, whether this link is generated by an unilateral o rbilateral link formation process. They illustrate this test using survey answers to a risk-sharing question inTanzania. They find that the bilateral link formation model fits the data better than the unilateral model, but the data are best interpreted as willingness to link rather than an actual link. They then expand the model to include self-censoring and find that models with self-censoring fit the data best. [Working Paper No. 236]
Keywords: network architecture; pairwise stability; risk sharing (search for similar items in EconPapers)
Date: 2010-08
New Economics Papers: this item is included in nep-gth and nep-net
Note: Institutional Papers
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.esocialsciences.org/Download/repecDownl ... &AId=2797&fref=repec
Related works:
Journal Article: Testing Unilateral and Bilateral Link Formation (2014) 
Working Paper: Testing Unilateral and Bilateral Link Formation (2014)
Working Paper: Testing Unilateral and Bilateral Link Formation (2014)
Working Paper: Testing Unilateral and Bilateral Link Formation (2014)
Working Paper: Testing Unilateral and Bilateral Link Formation (2009) 
Working Paper: Testing Unilateral and Bilateral Link Formation (2009) 
Working Paper: Testing unilateral and bilateral link formation (2009) 
Working Paper: Testing unilateral and bilateral link formation (2009) 
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:ess:wpaper:id:2797
Access Statistics for this paper
More papers in Working Papers from eSocialSciences
Bibliographic data for series maintained by Padma Prakash ().