Using Aggregated Relational Data to Feasibly Identify Network Structure without Network Data

Emily Breza, Arun G. Chandrasekhar, Tyler H. McCormick and Mengjie Pan

American Economic Review, 2020, vol. 110, issue 8, 2454-84

Abstract: Social network data are often prohibitively expensive to collect, limiting empirical network research. We propose an inexpensive and feasible strategy for network elicitation using Aggregated Relational Data (ARD): responses to questions of the form "how many of your links have trait k?" Our method uses ARD to recover parameters of a network formation model, which permits sampling from a distribution over node- or graph-level statistics. We replicate the results of two field experiments that used network data and draw similar conclusions with ARD alone.

JEL-codes: C81 C93 D85 Z13 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (37)

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DOI: 10.1257/aer.20170861

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