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• W2085987260 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." @default.
• W2085987260 created "2016-06-24" @default.
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• W2085987260 date "2013-12-19" @default.
• W2085987260 modified "2023-10-17" @default.
• W2085987260 title "Testing Unilateral and Bilateral Link Formation" @default.
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• W2085987260 doi "https://doi.org/10.1111/ecoj.12071" @default.
• W2085987260 hasPublicationYear "2013" @default.
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