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

Francesco Schirripa Spagnolo, Antonella D’Agostino () and Nicola Salvati
Additional contact information
Francesco Schirripa Spagnolo: Università di Napoli Parthenope
Antonella D’Agostino: Università di Napoli Parthenope
Nicola Salvati: Università degli Studi di Pisa

Quality & Quantity: International Journal of Methodology, 2018, vol. 52, issue 4, No 11, 1643-1667

Abstract: 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.

Keywords: Economic living conditions; Migrant communities; Small area estimation; M-quantile regression; Robust statistics (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s11135-017-0542-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:52:y:2018:i:4:d:10.1007_s11135-017-0542-3

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-017-0542-3

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().