Literature DB >> 25192912

Decomposing the effect of social policies on population health and inequalities: an empirical example of unemployment benefits.

Tommy Ferrarini1, Kenneth Nelson2, Ola Sjöberg3.   

Abstract

AIM: The purpose of this study is to discuss and empirically contrast different conceptualizations and operationalizations of social policies in analysing health and educational differences in health cross-nationally.
METHODS: Country-level institutional and expenditure data on unemployment benefit schemes and individual-level data from the EU-SILC for 23 countries were used to analyse the association between unemployment benefits and self-assessed health for individuals with different educational attainment.
RESULTS: The analyses indicate that higher coverage rate (i.e. the proportion of the relevant population eligible for benefits) is associated with better self-related health among both low- and high-educated individuals, but is not linked to smaller educational differences in health. In contrast, replacement rate (i.e. the amount of benefits received) in isolation is not related to self-assessed health. However, in countries where coverage rates are high, higher replacement rates are associated with better health among both low- and high-educated individuals and smaller educational differences in health.
CONCLUSIONS: Decomposing unemployment benefit programmes into two main dimensions--the proportion in the labour force covered by such programmes and the replacement rate received in case of unemployment--may present further insights into institutional mechanisms linking macro-level social policies to individual-level health outcomes.
© 2014 the Nordic Societies of Public Health.

Keywords:  coverage; institutional approach; replacement rate; self-assessed health; unemployment benefits; welfare state

Mesh:

Year:  2014        PMID: 25192912     DOI: 10.1177/1403494814546349

Source DB:  PubMed          Journal:  Scand J Public Health        ISSN: 1403-4948            Impact factor:   3.021


  7 in total

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  7 in total

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