Eliciting illegal migration rates through list randomization
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. This paper trials this technique by adding it to surveys conducted in Ethiopia, Mexico, Morocco, and the Philippines. It shows how, in principal, this can be used both to 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. The results suggest that there is some useful information in this method: 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 the other findings also suggest some possible inconsistencies or noise in the conclusions obtained using this method. The authors suggest directions for future attempts to implement this approach in migration surveys.
|Date of creation:||01 Apr 2013|
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- Gordon H. Hanson, 2006.
"Illegal Migration from Mexico to the United States,"
NBER Working Papers
12141, National Bureau of Economic Research, Inc.
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"List randomization for sensitive behavior: An application for measuring use of loan proceeds,"
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- Dean Karlan & Jonathan Zinman, 2011. "List Randomization for Sensitive Behavior: An Application for Measuring Use of Loan Proceeds," NBER Working Papers 17475, National Bureau of Economic Research, Inc.
- Bruhn, Miriam & Lara Ibarra, Gabriel & McKenzie, David, 2013. "Why is voluntary financial education so unpopular ? Experimental evidence from Mexico," Policy Research Working Paper Series 6439, The World Bank.
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