Eliciting Illegal Migration Rates through List Randomization
AbstractMost 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 principal, 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 useful information 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.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 7401.
Length: 18 pages
Date of creation: May 2013
Date of revision:
Publication status: published in: Migration Studies, 2013, 1(3): 276-91
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Other versions of this item:
- David McKenzie & Melissa Siegel, 2013. "Eliciting Illegal migration rates through list randomization," CReAM Discussion Paper Series 1310, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
- McKenzie, David & Siegel, Melissa, 2013. "Eliciting illegal migration rates through list randomization," Policy Research Working Paper Series 6426, The World Bank.
- McKenzie, David & Siegel, Melissa, 2013. "Eliciting illegal migration rates through list randomization," UNU-MERIT Working Paper Series 023, United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology.
- F22 - International Economics - - International Factor Movements and International Business - - - International Migration
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- J61 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Geographic Labor Mobility; Immigrant Workers
- K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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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"List randomization for sensitive behavior: An application for measuring use of loan proceeds,"
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Elsevier, vol. 98(1), pages 71-75.
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Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- Three new papers on measuring stuff that is difficult to measure
by ? in Development Impact on 2013-07-08 15:32:00
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