Testing Unilateral and Bilateral Link Formation

Margherita Comola () and Marcel Fafchamps

PSE-Ecole d'économie de Paris (Postprint) from HAL

Abstract: Empirical analysis of social networks is often based on self-reported links from survey data. How we interpret such data is crucial for drawing correct inference on network effects. We propose a method for testing whether survey responses can safely be interpreted as a link and, if so, whether links are generated by a unilateral or bilateral link formation process. We present two empirical illustrations of the test on risk-sharing links in Tanzania and on communication among Indian farmers, respectively, demonstrating the ability of the methodology to discriminate between competing data-generating processes.

Keywords: farmers; network; social networks (search for similar items in EconPapers)
Date: 2014-09
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Citations: View citations in EconPapers (23)

Published in The Economic Journal, 2014, 124 (579), pp.954-976. ⟨10.1111/ecoj.12071⟩

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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 (2010)
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)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:pseptp:hal-00825261

DOI: 10.1111/ecoj.12071

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