Nonparametric Identification for Respondent-Driven Sampling.
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.
Department of Political Science, Yale University ; Department of Biostatistics, Yale School of Public Health.
Peter M
PM
Aronow
Department of Biostatistics, Yale School of Public Health.
Forrest W
FW
Crawford
Horvitz-Thompson estimator; network degree; respondent-driven sampling