In recent decades, there has been a growing research interest in compar- ative studies of migrant integration, assimilation and the evaluation of policies im- plemented for these purposes. With this aim, The Migrant Integration Policy Index (MIPEX), that measures policies to integrate migrants in 52 countries, has estab- lished itself as a solid reference on the subject over the years. In this work, we im- prove and facilitate the comparison between the treated countries by the application a Gaussian mixture model-based cluster analysis on the 8 MIPEX dimensions.

Migrant Integration Policy Index (MIPEX): an analysis of countries via Gaussian mixture model-based clustering / Seri, Emiliano; Salvatore Alaimo, Leonardo; Di Bella, Enrico; Cataldo, Rosanna; Piscitelli, Alfonso. - (2022), pp. 96-101.

Migrant Integration Policy Index (MIPEX): an analysis of countries via Gaussian mixture model-based clustering

Rosanna Cataldo;Alfonso Piscitelli
2022

Abstract

In recent decades, there has been a growing research interest in compar- ative studies of migrant integration, assimilation and the evaluation of policies im- plemented for these purposes. With this aim, The Migrant Integration Policy Index (MIPEX), that measures policies to integrate migrants in 52 countries, has estab- lished itself as a solid reference on the subject over the years. In this work, we im- prove and facilitate the comparison between the treated countries by the application a Gaussian mixture model-based cluster analysis on the 8 MIPEX dimensions.
2022
978-88-94593-35-8
Migrant Integration Policy Index (MIPEX): an analysis of countries via Gaussian mixture model-based clustering / Seri, Emiliano; Salvatore Alaimo, Leonardo; Di Bella, Enrico; Cataldo, Rosanna; Piscitelli, Alfonso. - (2022), pp. 96-101.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/909314
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact