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Income-tested health entitlements: microsimulation modelling using SILC

Authors: Callan, T; Colgan, B; Keane, C; Logue, C; Walsh, J;

Income-tested health entitlements: microsimulation modelling using SILC

Abstract

The application of microsimulation techniques to tax and welfare policies is well established in many countries, including Ireland. The richness of the data contained in SILC, the CSO’s Survey on Income and Living Conditions, means that similar methods can also be applied to the analysis of policy in some other key areas. Income-tested health entitlements, which include most medical cards and many GP visit cards, are a major feature of the Irish health system. We examine how the income tests for such schemes can be modelled using the detailed income and demographic information in the CSO Survey on Income and Living Conditions. The ESRI’s SWITCH model is extended to apply the rules for income-related cards to each family in this nationally representative sample. A key issue which emerges is the apparently low level of take up among those entitled to GP visit cards. This has implications for the costing of policy changes, such as a shift to Universal Health Insurance (UHI) or widening of the age bands qualifying for non-income tested GP visit cards.

read before the Society, 30 March 2017

Country
Ireland
Related Organizations
Keywords

medical cards, 330, non-cash benefit, microsimulation, health entitlements, 314.15, GP visit cards, non take-up

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green