Nonparametric identification for respondent-driven sampling

Peter M. Aronow and Forrest W. Crawford

Statistics & Probability Letters, 2015, vol. 106, issue C, 100-102

Abstract: We detail nonparametric identification results for respondent-driven sampling when sampling probabilities are assumed to be functions of network degree known to scale. We show that the conditions for consistency of the Volz–Heckathorn estimator are weaker than previously assumed.

Keywords: Horvitz–Thompson estimator; Network degree; Respondent-driven sampling (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:106:y:2015:i:c:p:100-102

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DOI: 10.1016/j.spl.2015.07.003

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