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Measuring differences in economic standard of living between immigrant communities in Italy

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  • Francesco Schirripa Spagnolo

    (Università di Napoli Parthenope)

  • Antonella D’Agostino

    (Università di Napoli Parthenope)

  • Nicola Salvati

    (Università degli Studi di Pisa)

Abstract

Measuring differences in the economic standard of living of between natives and other ethnic groups can inform us about the relative disadvantages and inequalities within Italian society. Despite the importance of this question, the measurement of this gap is not an easy task because, when using the usual design-based approach to survey sampling inference, the available micro-data lack sufficient sample size for the majority of immigrant communities needed to obtain reliable estimates. In this paper, we show that small area estimation (SAE) techniques can be applied in a fruitful way to avoid this issue. In particular, we use an approach based on M-quantile regression for estimating the economic standard of living in each community in Italy. Our findings highlight economic disparities between natives and other ethnic groups and suggest the need to adopt specific policies that target the most vulnerable immigrant communities and are designed to improve their economic standard of living.

Suggested Citation

  • Francesco Schirripa Spagnolo & Antonella D’Agostino & Nicola Salvati, 2018. "Measuring differences in economic standard of living between immigrant communities in Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1643-1667, July.
    • Handle: RePEc:spr:qualqt:v:52:y:2018:i:4:d:10.1007_s11135-017-0542-3
    DOI: 10.1007/s11135-017-0542-3
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    Cited by:

    1. Angelo Moretti, 2023. "Estimation of small area proportions under a bivariate logistic mixed model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3663-3684, August.

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