Undocumented Migration and Electoral Support: Evidence From Spain

Open Access Journal | ISSN: 2183-2463

Article | Open Access

Undocumented Migration and Electoral Support: Evidence From Spain


  • Ismael Gálvez-Iniesta Department of Applied Economics, University of the Balearic Islands, Spain
  • José L. Groizard Department of Applied Economics, University of the Balearic Islands, Spain


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Abstract:  Unwrapping the political discourse against immigration is key to understanding the rise of populism in Western democracies. A growing body of literature has found ample evidence that immigration pays a premium to conservative political forces that propose tighter policies. Using data on presidential elections in Spain from 2008 to 2019, we shed light on this debate by highlighting the role played by irregular migration. Some studies show that undocumented immigrants consume less and earn lower wages than documented immigrants with similar observable characteristics. In addition, since they are relegated to working in the informal sector, they cannot contribute to the welfare state with direct taxes. This suggests that undocumented migration might intensify support for right-wing politics and that the effect is independent from the one caused by the presence of documented migrants. We apply an instrumental variable strategy to deal with the non-random distribution of migrants across political districts. Our findings indicate that increasing undocumented migration increases support for the right, while increasing documented migration rises support for the left. When we consider the irruption of the far-right into electoral competitions, we find that undocumented migration redistributes votes from the left to the right, as has been observed in other countries.

Keywords:  extreme right; immigration; instrumental variables; political economy; undocumented migration; voting

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DOI: https://doi.org/10.17645/pag.v9i4.4379


© Ismael Gálvez-Iniesta, José L. Groizard. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0), which permits any use, distribution, and reproduction of the work without further permission provided the original author(s) and source are credited.