What determines private school choice? a comparison between the UK and Australia

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.

The socio-economic gradient in early child outcomes: evidence from the Millennium Cohort Study

This paper shows that there are large differences in cognitive and socio-emotional development between children from rich and poor backgrounds at the age of 3, and that this gap widens by the age of 5. Children from poor backgrounds also face much less advantageous "early childhood caring environments" than children from better off families. For example we identify differences in poor children's and their mothers' health and well-being (e.g. birth-weight, breast-feeding, and maternal depression); family interactions (e.g. mother child closeness); the home learning environment (e.g. reading regularly to the child); parenting styles and rules (e.g. regular bed-times and meal-times), and experiences of childcare by ages 3 and 5. Differences in the home learning environment, particularly at the age of 3 have an important role to play in explaining why children from poorer backgrounds experience lower levels of cognitive development than children from better off families. However, a much larger proportion of the gap remains unexplained, or appears directly related to other aspects of family background (such as mothers' age, and family size) that are not mediated through the early childhood caring environment. When it comes to socio-emotional development, a greater proportion of the socio-economic gap does appear to be related to differences in the early childhood caring environment.

The demand for private schooling in England: the impact of price and quality

In this paper we use English school level data from 1993 to 2008 aggregated up to small neighbourhood areas to look at the determinants of the demand for private education in England from the ages of 7 until 15 (the last year of compulsory schooling). We focus on the relative importance of price and quality of schooling. However, there are likely to be unobservable factors that are correlated with private school prices and/or the quality of state schools that also impact on the demand for private schooling which could bias our estimates. Our long regional and local authority panel data allows us to employ a number of strategies to deal with this potential endogeneity. Because of the likely presence of incidental trends in our unobservables, we employ a double difference system GMM approach to remove both fixed effects and incidental trends. We find that the demand for private schooling is inversely related to private school fees as well as the quality of state schooling in the local area at the time families were making key schooling choice decisions at the ages of 7, 11 and 13. We estimate that a one standard deviation increase in the private school day fee when parents/students are making these key decisions reduces the proportion attending private schools by around 0.33 percentage points which equates to an elasticity of around -0.26. This estimate is only significant for choices at age 7 (but the point estimates are very similar at the ages of 11 and 13). At age 11 and age 13, an increase in the quality of local state secondary reduces the probability of attending private schools. At age 11, a one standard deviation increase in state school quality reduces participation in private schools by 0.31 percentage points which equates to an elasticity of -0.21. The effect at age 13 is slightly smaller, but still significant. Demand for private schooling at the ages of 8, 9, 10 and 12, 14 and 15 are almost entirely determined by private school demand in the previous year for the same cohort, and price and quality do not impact significantly on this decision other than through their initial influence on the key participation decisions at the ages of 7, 11 and 13.