ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2013
Evaluating the redistributive impact of public health expenditure using an insurance value approach.
Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The trial behind it
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Who cites it
2 citing papers in PubMed.
- Unequal benefits: the effects of health insurance integration on consumption inequality in rural China.Frontiers in public health · 2025Article
- The Age of Mobility: Can Equalization of Public Health Services Alleviate the Poverty of Migrant Workers?International journal of environmental research and public health · 2022Article
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Authors and funding
5 authors.
Funding
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Abstract
This article analyses the redistributive impact of public health expenditure in Spain using an insurance value approach to compute individual and household's value of health services non-cash benefit. We model the intensity of use of different health care services using a count data framework on a nationally representative health care survey and then predict probabilities on the 2006 Spanish EU-SILC sample. This allows us to extend disposable income with the expected monetary value of public health services and to compare it with strictly cash income. Since non-cash income due to public health services is associated with health needs, we use needs-adjusted equivalence scales to perform distributional analysis and poverty/inequality comparisons. The results show that public health expenditure in Spain acts progressively on income distribution, and that health in-kind benefits, once considered as part of disposable income, can be extremely effective in reducing poverty and inequality.
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22948513What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.