Eliciting Illegal migration rates through list randomization

McKenzie, David and Siegel, Melissa (2013). Eliciting Illegal migration rates through list randomization. UNU-MERIT.

Document type:
Report

Metadata
Documents
Versions
Statistics
  • Attached Files (Some files may be inaccessible until you login with your UNU Collections credentials)
    Name Description MIMEType Size Downloads
    wp2013-023.pdf PDF application/pdf 297.91KB
  • Author McKenzie, David
    Siegel, Melissa
    Title Eliciting Illegal migration rates through list randomization
    Publication Date 2013
    Publisher UNU-MERIT
    Abstract Most migration surveys do not ask about the legal status of migrants due to concerns about the sensitivity of this question. List randomization is a technique that has been used in a number of other social science applications to elicit sensitive information. We trial this technique by adding it to surveys conducted in Ethiopia, Mexico, Morocco and the Philippines. We show how, in principle, this can be used to both give an estimate of the overall rate of illegal migration in the population being surveyed, as well as to determine illegal migration rates for subgroups such as more or less educated households. Our results suggest that there is some indication in this method: we find higher rates of illegal migration in countries where illegal migration is thought to be more prevalent and households who say they have a migrant are more likely to report having an illegal migrant. Nevertheless, some of our other findings also suggest some possible inconsistencies or noise in the conclusions obtained using this method, so we suggest directions for future attempts to implement this approach in migration surveys.
    Keyword Illegal migration
    List randomization
    Item count method
    Survey techniques
    JEL F22
    C83
    J61
    K42
    Copyright Holder UNU-MERIT
    Copyright Year 2013
  • Versions
    Version Filter Type
  • Citation counts
    Google Scholar Search Google Scholar
    Access Statistics: 788 Abstract Views, 410 File Downloads  -  Detailed Statistics
    Created: Wed, 11 Dec 2013, 17:15:03 JST