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Undesired properties of the European Commission’s refugee distribution key

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  • Philip Grech

Abstract

The European Commission has proposed a refugee distribution key, which yields respective quotas for European Union/European Free Trade Association member states. It is based on four quantities: GDP, population, asylum applications per capita in the past, and unemployment rates. I show that the given distribution key has properties which contradict the European Commission’s intentions. Exemplarily, states with low (high) unemployment may experience a lower (higher) quota when unemployment is taken into account compared to when it is not. These deviations are single-digit percentages. As a remedy, I propose an alternative distribution key, which avoids the undesired properties. It is modeled in the spirit of the European Commission’s proposal and is based on the same four quantities. Deviations between the two distribution keys are up to two-digit percentages.

Suggested Citation

  • Philip Grech, 2017. "Undesired properties of the European Commission’s refugee distribution key," European Union Politics, , vol. 18(2), pages 212-238, June.
  • Handle: RePEc:sae:eeupol:v:18:y:2017:i:2:p:212-238
    DOI: 10.1177/1465116516649244
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    References listed on IDEAS

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    1. Mathias Czaika, 2005. "A Refugee Burden Index: methodology and its application," Migration Letters, Migration Letters, vol. 2(2), pages 101-125, October.
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    3. Timothy J. Hatton, 2015. "Asylum Policy in the EU: the Case for Deeper Integration," CESifo Economic Studies, CESifo Group, vol. 61(3-4), pages 605-637.
    4. Menon, Anand, 2012. "The Oxford Handbook of the European Union," OUP Catalogue, Oxford University Press, number 9780199546282 edited by Jones, Erik & Weatherill, Stephen.
    5. Eric Neumayer, 2005. "Asylum Recognition Rates in Western Europe," Journal of Conflict Resolution, Peace Science Society (International), vol. 49(1), pages 43-66, February.
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    Cited by:

    1. Andersson, Tommy, 2017. "Refugee Matching as a Market Design Application," Working Papers 2017:16, Lund University, Department of Economics.

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