Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/43639
Authors: 
Schonlau, Matthias
Liebau, Elisabeth
Year of Publication: 
2010
Series/Report no.: 
RatSWD research notes 45
Abstract: 
Respondent driven sampling (RDS) is a network sampling technique typically employed for hard-to-reach populations (e.g. drug users, men who have sex with men, people with HIV). Similar to snowball sampling, initial seed respondents recruit additional respondents from their network of friends. The recruiting process repeats iteratively, thereby forming long referral chains. Unlike in snowball sampling, it is crucial to obtain estimates of respondents' personal network size (i.e., number of acquaintances in the target population) and information about who recruited whom. Markov chain theory makes it possible to derive population estimates and sampling weights. We introduce a new Stata program for RDS and illustrate its use.
Subjects: 
survey methodology
Stata software
chain referral sampling
JEL: 
C83
C88
Document Type: 
Working Paper

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