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Migrationsbezogene Verbleibs- und Rückkehrabsichten im SOEP
[Migration related intentions to stay and return in SOEP dataset]

Author

Listed:
  • Stegmann, Tim

Abstract

Migration related intentions to stay in Germany or return to home country are conceptualized in different contexts in research on migration and integration. With the German Socio-economic Panel dataset (SOEP) provided by the German Institute for Economic Research (DIW) it is possible to undertake comprehensive longitudinal and cross-sectional studies on this topic. The paper describes which variables are included in the SOEP concerning this matter, identifies some constraints of the information provided and shows an exemplary analysis.

Suggested Citation

  • Stegmann, Tim, 2009. "Migrationsbezogene Verbleibs- und Rückkehrabsichten im SOEP [Migration related intentions to stay and return in SOEP dataset]," MPRA Paper 13240, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:13240
    as

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    File URL: https://mpra.ub.uni-muenchen.de/13240/1/MPRA_paper_13240.pdf
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    References listed on IDEAS

    as
    1. Joachim R. Frick & Olaf Groh-Samberg & Henning Lohmann, 2008. "Biography and Life History Data in the German Socio Economic Panel: (Up to Wave X, 2007)," Data Documentation 36, DIW Berlin, German Institute for Economic Research.
    2. Martin Kroh, 2009. "Documentation of Sample Sizes and Panel Attrition in the German Socio Economic Panel (SOEP) (1984 until 2008)," Data Documentation 47, DIW Berlin, German Institute for Economic Research.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Migration; Integration; Identifikative Assimilation; Rückkehrabsichten; Verbleibsabsichten; SOEP;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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