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Are attitudes towards immigration changing in Europe? An analysis based on bidimensional latent class IRT models

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  • Genge, Ewa
  • Bartolucci, Francesco

Abstract

We analyse the changing attitudes towards immigration in EU host countries in the last few years (2010-2016) on the basis of the European Social Survey data. These data are collected by the administration of a questionnaire made of items concerning different aspects related to the immigration phenomenon. For this analysis we rely on a class of item response theory models that allow for: (i) multidimensionality; (ii) discreteness of the latent trait distribution; (iii) time-constant and time-varying covariates; and (iv) sample weights. Through these models we find latent classes of Europeans with similar levels of immigration acceptance, we study the effect of different socio-economic covariates on the probability of belonging to these classes, and we assess the item characteristics. In this way we show which countries tend to be more or less positive towards immigration and the temporal dynamics of the phenomenon under study.

Suggested Citation

  • Genge, Ewa & Bartolucci, Francesco, 2019. "Are attitudes towards immigration changing in Europe? An analysis based on bidimensional latent class IRT models," MPRA Paper 94672, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:94672
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    References listed on IDEAS

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    1. Yvonni Markaki & Simonetta Longhi, 2012. "What Determines Attitudes to Immigration in European Countries? An Analysis at the Regional Level," RF Berlin - CReAM Discussion Paper Series 1233, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    2. Geoff Masters, 1982. "A rasch model for partial credit scoring," Psychometrika, Springer;The Psychometric Society, vol. 47(2), pages 149-174, June.
    3. Bartolucci, Francesco & Bacci, Silvia & Gnaldi, Michela, 2014. "MultiLCIRT: An R package for multidimensional latent class item response models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 971-985.
    4. Francesco Bartolucci, 2007. "A class of multidimensional IRT models for testing unidimensionality and clustering items," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 141-157, June.
    5. Sides, John & Citrin, Jack, 2007. "European Opinion About Immigration: The Role of Identities, Interests and Information," British Journal of Political Science, Cambridge University Press, vol. 37(3), pages 477-504, July.
    6. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    European Social Survey; Expectation-Maximisation algorithm; Item response theory; Discrete latent variables;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration

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