Facts and figures about UK taxes, benefits and public spending.
Income distribution, poverty and inequality.
Analysing government fiscal forecasts and tax and spending.
Analysis of the fiscal choices an independent Scotland would face.
Case studies that give a flavour of the areas where IFS research has an impact on society.
Reforming the tax system for the 21st century.
A peer-reviewed quarterly journal publishing articles by academics and practitioners.
This paper compares patterns of private school attendance in the UK and Australia. About 6.5% of school children in the UK attend a private school, while 33% do so in Australia. We use comparable household panel data from the two countries to model attendance at a private school at age 15 or 16 as a function of household income and other child and parental characteristics. As one might expect, we observe a strong effect of household income on private school attendance. The addition of other household characteristics reduces this income elasticity, and reveals a strong degree of intergenerational transmission in both countries, with children being 8 percentage points more likely to attend a private school if one of their parents attended one in the UK, and anywhere up to 20 percentage points more likely in Australia. The analysis also reveals significant effects of parental education level, political preferences, religious background and the number of siblings on private school attendance.
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Recent IFS Working Papers
The UK's public finances in the long run: the IFS model
This working paper describes how the IFS’s model of the UK’s long-run public finances (and those of its constituent nations) is constructed.
Efficient responses to targeted cash transfers
In this paper, we estimate a collective model of household consumption and test the restrictions of collective rationality using z-conditional demands in the context of a large Conditional Cash Transfer programme in rural Mexico.
Policy discontinuity and duration outcomes
A comparison of hazard rates of duration outcomes before and after policy changes is hampered by non-identification if there is unobserved heteogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that overcomes this by exploiting variation in the moment at which different cohorts are exposed to the policy change, i.e. by considering spells crossing the policy change.