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Wage expectations of illegal immigrants: The role of networks and previous migration experience

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  • Rezart Hoxhaj

Abstract

In this paper, I use a unique survey on illegal immigrants apprehended in Italy to investigate migrants expected wages at the intended destination. The results show that – taking into account individual?s human capital – a large part of immigrants overestimate the wage they could earn in Italy. We find that expected wages are positively affected by migration network and previous experience. When migrating within a network, skilled migrants do not expect higher wages compared to unskilled ones probably anticipating the ‘skill waste’ associated with the illegal status.

Suggested Citation

  • Rezart Hoxhaj, 2015. "Wage expectations of illegal immigrants: The role of networks and previous migration experience," International Economics, CEPII research center, issue 142, pages 136-151.
    • Handle: RePEc:cii:cepiie:2015-q2-142-9
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    File URL: http://www.sciencedirect.com/science/article/pii/S211070171400050X
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    Citations

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    Cited by:

    1. Romuald Meango, 2023. "Identification of Ex Ante Returns Using Elicited Choice Probabilities," Papers 2303.03009, arXiv.org.
    2. Sam Jones & Ricardo Santos & Gimelgo Xirinda, 2020. "Misinformed, mismatched, or misled?: Explaining the gap between expected and realized graduate earnings in Mozambique," WIDER Working Paper Series wp-2020-47, World Institute for Development Economic Research (UNU-WIDER).
    3. Ademmer, Esther & Barslund, Mikkel & Benček, David & Di Salvo, Mattia & Groll, Dominik & Hoxhaj, Rezart & Kadkoy, Omar & Lanati, Mauro & Laurentsyeva, Nadzeya & Lücke, Matthias & Ludolph, Lars & Pizzu, 2018. "2018 MEDAM Assessment Report on Asylum and Migration Policies in Europe. Flexible Solidarity: A comprehensive strategy for asylum and immigration in the EU," MEDAM Assessment Report on Asylum and Migration Policies in Europe, Mercator Dialogue on Asylum and Migration (MEDAM), number 182240.
    4. Montserrat Guillen & Miguel Santolino & Xenxo Vidal-Llana, 2022. ""Inequality of subjective economic uncertainty and individual economic prospects in the pandemic period"," IREA Working Papers 202202, University of Barcelona, Research Institute of Applied Economics, revised Feb 2022.
    5. Ademmer, Esther & Akgüç, Mehtap & Barslund, Mikkel & Di Bartolomeo, Anna & Benček, David & Groll, Dominik & Hoxhaj, Rezart & Lanati, Mauro & Laurentsyeva, Nadzeya & Lücke, Matthias & Ludolph, Lars & R, 2017. "2017 MEDAM Assessment Report on Asylum and Migration Policies in Europe. Sharing responsibility for refugees and expanding legal immigration," MEDAM Assessment Report on Asylum and Migration Policies in Europe, Mercator Dialogue on Asylum and Migration (MEDAM), number 182239.
    6. Poinas, François & Méango, Romuald, 2023. "The (Option-)Value of Overstaying," TSE Working Papers 23-1478, Toulouse School of Economics (TSE).
    7. Nicu Marcu & Marian Siminică & Graţiela Georgiana Noja & Mirela Cristea & Carmen Elena Dobrotă, 2018. "Migrants’ Integration on the European Labor Market: A Spatial Bootstrap, SEM and Network Approach," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    8. Romauld Méango, 2023. "Identification of ex ante returns using elicited choice probabilities," Economics Series Working Papers 1007, University of Oxford, Department of Economics.
    9. Federico Antonioli & Simone Severini & Mauro Vigani, 2023. "Visa for competitiveness: foreign workforce and Italian dairy farms’ performance," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(1), pages 115-150.

    More about this item

    Keywords

    Illegal migration; Wage expectations; Overestimation; Italy;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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