Zentralinstitut Lateinamerika-Institut
Freie Universität Berlin
Berlin, DE
vor 5 Tg.

Although the number of migrants who are being returned against their will is of considerable size for many countries, little quantitative research has assessed selective deportation practices, dynamics in deportation regimes over time, or the consequences that the inflow of deportees has in migrants’ countries of origin.

The goal of the research project Immigration Enforcement across the World : Drivers and Consequences of Cross-Country-Variation in Deportation Risks funded by Fritz Thyssen Foundation is to assemble the first country-by-country database on deportations from administrative sources in host countries in order to unpack aggregate patterns and mechanisms related to the political economy of deportation regimes in host countries as well as their consequences in migrants’ countries of origin.

The project is funded for two years, with possibility of extension for an additional year.

Job description :

  • With support from student research assistants, the candidate is expected to explore official data availability on deportation corridors in all major destination and transit countries;
  • to help building a country-by-country panel on deportation practices; to co-author, in case of interest, research papers on the drivers and consequences of deportation practices based on the analysis of country-level data;
  • and to participate in the organization of a workshop on the economics and politics of immigration enforcement.

    Requirements :

    Graduate degree in economics (M.A. or M.Sc.). Graduates from other social sciences can be considered only if they have a solid background in statistics and / or data analysis.

    Desired :

  • Familiarity with the academic literature on the politics and economics of international migration; background in applied econometrics and in particular with time series and panel data data methods;
  • familiarity with the use of statistical software (R, Stata) and programming skills; interest in working with data; openness to interdisciplinary approaches and research questions.

    Language skills in addition to English are an additional asset.

    For further information, please contact Dr. Christian Ambrosius (christian.ambrosius fu-berlin.de / +49 30 838 57935).

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