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Eliciting Illegal Migration Rates through List Randomization

Author

Listed:
  • McKenzie, David

    (World Bank)

  • Siegel, Melissa

    (Maastricht University)

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 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.

Suggested Citation

  • McKenzie, David & Siegel, Melissa, 2013. "Eliciting Illegal Migration Rates through List Randomization," IZA Discussion Papers 7401, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp7401
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    References listed on IDEAS

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    1. Gordon H. Hanson, 2006. "Illegal Migration from Mexico to the United States," Journal of Economic Literature, American Economic Association, vol. 44(4), pages 869-924, December.
    2. Ezequiel Gonzalez‐Ocantos & Chad Kiewiet de Jonge & Carlos Meléndez & Javier Osorio & David W. Nickerson, 2012. "Vote Buying and Social Desirability Bias: Experimental Evidence from Nicaragua," American Journal of Political Science, John Wiley & Sons, vol. 56(1), pages 202-217, January.
    3. Karlan, Dean S. & Zinman, Jonathan, 2012. "List randomization for sensitive behavior: An application for measuring use of loan proceeds," Journal of Development Economics, Elsevier, vol. 98(1), pages 71-75.
    4. 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.
    5. Alexander L. Janus, 2010. "The Influence of Social Desirability Pressures on Expressed Immigration Attitudes," Social Science Quarterly, Southwestern Social Science Association, vol. 91(4), pages 928-946, December.
    Full references (including those not matched with items on IDEAS)

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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Three new papers on measuring stuff that is difficult to measure
      by ? in Development Impact on 2013-07-08 20:32:00

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    Cited by:

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    2. Lucia Corno & Áureo de Paula, 2019. "Risky Sexual Behaviours: Biological Markers and Self‐reported Data," Economica, London School of Economics and Political Science, vol. 86(342), pages 229-261, April.
    3. Jorge M. Agüero & Veronica Frisancho, 2022. "Measuring Violence against Women with Experimental Methods," Economic Development and Cultural Change, University of Chicago Press, vol. 70(4), pages 1565-1590.
    4. Carole Treibich & Aurélia Lépine, 2019. "Estimating misreporting in condom use and its determinants among sex workers: Evidence from the list randomisation method," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 144-160, January.
    5. Chuang, Erica & Dupas, Pascaline & Huillery, Elise & Seban, Juliette, 2021. "Sex, lies, and measurement: Consistency tests for indirect response survey methods," Journal of Development Economics, Elsevier, vol. 148(C).
    6. De Cao, Elisabetta & Lutz, Clemens, 2014. "Sensitive survey questions," Research Report 14017-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    7. Henry Cust & Aurélia Lépine & Carole Treibich & Timothy Powell‐Jackson & Rosalba Radice & Cheikh Tidiane Ndour, 2024. "Trading HIV for sheep: Risky sexual behavior and the response of female sex workers to Tabaski in Senegal," Health Economics, John Wiley & Sons, Ltd., vol. 33(1), pages 153-193, January.
    8. Elisabetta de Cao & Clemens Lutz, 2015. "Measuring attitudes regarding female genital mutilation through a list experiment," CSAE Working Paper Series 2015-20, Centre for the Study of African Economies, University of Oxford.
    9. repec:dgr:rugsom:14017-eef is not listed on IDEAS
    10. TENIKUE Michel & TEQUAME Miron, 2018. "Economic and Health Impacts of the 2011 Post-Electoral Crisis in Côte d’Ivoire: Evidence from Microdata," LISER Working Paper Series 2018-03, Luxembourg Institute of Socio-Economic Research (LISER).
    11. Lépine, Aurélia & Treibich, Carole & D’Exelle, Ben, 2020. "Nothing but the truth: Consistency and efficiency of the list experiment method for the measurement of sensitive health behaviours," Social Science & Medicine, Elsevier, vol. 266(C).

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    More about this item

    Keywords

    survey techniques; item count method; list randomization; illegal migration;
    All these keywords.

    JEL classification:

    • 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, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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