Testing Unilateral and Bilateral Link Formation
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...
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| Veröffentlicht in: | The Economic journal (London) 2014-09, Vol.124 (579), p.954-976 |
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| container_title | The Economic journal (London) |
| container_volume | 124 |
| creator | Comola, Margherita Fafchamps, Marcel |
| description | 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. |
| doi_str_mv | 10.1111/ecoj.12071 |
| format | Article |
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| ispartof | The Economic journal (London), 2014-09, Vol.124 (579), p.954-976 |
| issn | 0013-0133 1468-0297 |
| language | eng |
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| source | Jstor Complete Legacy; Oxford University Press Journals All Titles (1996-Current); Wiley Online Library Journals Frontfile Complete; Business Source Complete |
| subjects | Agriculture Communication Demonstrations Dyadics Economic models Economics and Finance Empirical research Farmers Humanities and Social Sciences Hyperlinks India Information processing Responses Risk sharing Social networks Spreading risk Standard error Studies Survey responses Tanzania Villages Working papers |
| title | Testing Unilateral and Bilateral Link Formation |
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