Children, Gender and Families in Mediterranean Welfare States

doi:10.1007/978-90-481-8842-0

Cited by 15 publications

(1 citation statement)

References 27 publications

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“…Empirical evidence has demonstrated the importance of household income for children's wellbeing, as it provides the basic living conditions for development (Cooper and Stewart 2013). Studies developed in the EU (Ajzenstadt and Gal 2010;European Commission 2008;Tarki 2010) analyze the effect of household income on children's wellbeing and their economic and social success as adults. Although these studies point out the importance of family income for children's wellbeing, they also note that income is not the sole determinant of children's wellbeing, which calls for use of a multidimensional approach to child poverty.…”

Section: Introductionmentioning

confidence: 99%

A Measure of Child Exposure to Household Material Deprivation: Empirical Evidence from the Portuguese Eu-Silc

2020

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Although monitoring and evaluating child poverty has been recognized as important, there is little statistical information focused on children. Because the annual EU-Statistics on Income and Living Conditions (EU-SILC) survey does not include child-specific information on an annual basis, this study proposes a measure of child exposure to household material deprivation based on this dataset. The study considers four domains of deprivation that have a direct impact on child development: housing conditions, household financial capacity, household durable goods, and environmental living conditions. Although developing a child-centered measurement of child deprivation is important, the EU-SILC considers the household as the unit of measurement. Therefore, our proposal is household-based, allowing annual monitoring of children's exposure to deprivation-an important insight for social policy purposes to tackle the problem of child poverty. Using the 2017 Portuguese sample, we applied graded response models to assess the psychometric properties of the EU-SILC items and fit separate indexes per domain and the composite index. Item selection was based on their characteristic curves and information functions. The results allow for the selection of more informative items for every domain to obtain the composite index. In general, the empirical analysis confirmed the theoretical approach for item selection. The methodology may be directly applied to the full EU dataset or to each country individually.

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Section: Introductionmentioning

confidence: 99%