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Dealing with omitted answers in a survey on social integration of immigrants in Italy

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  • Angelo Mazza
  • Antonio Punzo

Abstract

Surveys are used to infer the level of social integration of immigrants. Item response theory helps to describe the relationship among responses to test items and latent traits of interest. However, in the presence of nonignorable missing data, which are omitted responses depending on the latent traits to be measured, estimates of the model parameters are biased. To account for nonignorable missing data, the quantity and quality of contacts between immigrants and natives (so called “social integration”) are taken into account through a linear function of the response propensity. Higher education, no intention to migrate again, young age, Albanian nationality, and declaring a non-Muslim religion or none, comparatively favor social integration.

Suggested Citation

  • Angelo Mazza & Antonio Punzo, 2017. "Dealing with omitted answers in a survey on social integration of immigrants in Italy," Mathematical Population Studies, Taylor & Francis Journals, vol. 24(2), pages 84-102, April.
    • Handle: RePEc:taf:mpopst:v:24:y:2017:i:2:p:84-102
    DOI: 10.1080/08898480.2016.1271648
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    References listed on IDEAS

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    1. Gabriel Rissola, 2013. "ICT to support the Everyday Life Integration of Immigrants in the European Union: An Online Survey of Connected Migrants - First Methodological Report," JRC Research Reports JRC71583, Joint Research Centre.
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    Cited by:

    1. Porumbescu Alexandra, 2023. "To return or to stay? The situation of Romanian badanti in Italy during the Coronavirus pandemic," Social Change Review, Sciendo, vol. 20(1), pages 77-103, December.
    2. Angelo Mazza & Antonio Punzo, 2016. "Spatial attraction in migrants' settlement patterns in the city of Catania," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(5), pages 117-138.

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