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Estimating the at Risk of Poverty Rate Before and After Social Transfers at Provincial Level in Italy

  • Caterina Giusti
  • Stefano Marchetti
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 227)

Abstract

Considering the local areas where citizens live is fundamental to investigate deprivation and social exclusion, particularly in a period of increasing financial difficulties and reduction of public funding. In this work we estimate the at risk of poverty rate of Italian households before and after social transfers at provincial level. To obtain these estimates we use data coming from the EU-SILC 2013 survey and data coming from the population census and administrative archives in a small area estimation framework, since the design of EU-SILC survey does not allow for reliable direct estimation at provincial level. Our results, besides indicating the essential role of social transfers in the reduction of the at risk of poverty rate, allow a sub-national analysis of the phenomenon of interest that would be lost by using traditional statistical techniques.

Keywords

Area level models Small area estimation EU-SILC 

Notes

Acknowledgements

This work is part of the activities of the PO.WE.R. research project, supported by the University of Pisa (PRA 2016).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Economics and ManagementPisaItaly

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