IDEAS home Printed from https://ideas.repec.org/p/ess/wpaper/id2797.html

Testing Unilateral and Bilateral Link Formation

Author

Listed:
  • Marcel Fafchamps

  • Margherita Comola

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]

Suggested Citation

  • Marcel Fafchamps & Margherita Comola, 2010. "Testing Unilateral and Bilateral Link Formation," Working Papers id:2797, eSocialSciences.
    • Handle: RePEc:ess:wpaper:id:2797
    Note: Institutional Papers
    as

    Download full text from publisher

    File URL: http://www.esocialsciences.org/Download/repecDownload.aspx?fname=Document13182010115.030459E-02.pdf&fcategory=Articles&AId=2797&fref=repec
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ess:wpaper:id:2797. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Padma Prakash (email available below). General contact details of provider: http://www.esocialsciences.org .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.