Sampling recently arrived immigrants in the UK: exploring the effectiveness of Respondent Driven Sampling
Renee Reichl Luthra,
Lucinda Platt and
Tom Frere-Smith
No 2014-25, ISER Working Paper Series from Institute for Social and Economic Research
Abstract:
Surveying recently arrived immigrants in countries lacking a population register poses many challenges. We describe our adaptation of Respondent Driven Sampling, a chain- referral technique, to sample migrants from Pakistan and Poland who had arrived in the UK within the previous 18 months. Specifically, we discuss issues around connectedness, privacy, clustering, and motivation, central to the implementation of RDS. We outline techniques adopted and evaluate their success. We conclude that RDS is unlikely to be suitable for accessing newly arrived migrants. However, in the absence of registers which can capture populations at point of entry there are no obvious alternatives.
Date: 2014-07-15
New Economics Papers: this item is included in nep-mig
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Published
Downloads: (external link)
https://www.iser.essex.ac.uk/wp-content/uploads/fi ... ers/iser/2014-25.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ese:iserwp:2014-25
Ordering information: This working paper can be ordered from
Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
https://www.iser.essex.ac.uk/publications/
Access Statistics for this paper
More papers in ISER Working Paper Series from Institute for Social and Economic Research Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK. Contact information at EDIRC.
Bibliographic data for series maintained by Jonathan Nears ().