Respondent Driven Sampling

26 Pages Posted: 21 Sep 2010

See all articles by Matthias Schonlau

Matthias Schonlau

University of Waterloo

Elisabeth Liebau

German Institute for Economic Research (DIW Berlin)

Date Written: August 2010

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.

Keywords: survey methodology, Stata software, chain referral sampling

JEL Classification: C83, C88

Suggested Citation

Schonlau, Matthias and Liebau, Elisabeth, Respondent Driven Sampling (August 2010). DIW Berlin Discussion Paper No. 1048. Available at SSRN: https://ssrn.com/abstract=1679748 or http://dx.doi.org/10.2139/ssrn.1679748

Matthias Schonlau (Contact Author)

University of Waterloo ( email )

Waterloo, Ontario
Canada

Elisabeth Liebau

German Institute for Economic Research (DIW Berlin) ( email )

Mohrenstra├če 58
Berlin, 10117
Germany

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