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Not all sources of inequality in educational achievements are fair. But how strong and persistent is the burden of unequal opportunities that each person carries on in their life? In this paper, we define individual indices of the burden of circumstances, which measure the effect that the accumulation of factors outside individual control, has on individual educational achievements in the short and long run. As our findings suggest, the effect of these circumstances tends to persist over time. This effect has been particularly strong for the generation of students who experienced the 1997 Asian Financial Crisis. Lastly, we do not find evidence of a sizeable effect of local non-routine education expenditure on the inequality of opportunity, causing us to question the effectiveness of educational policies in accurately targeting equity.

This paper empirically investigates the relationship between early childhood health conditions and subsequent educational achievements in a large sample of Indonesian children. I use a long-term panel data set and apply a maternal fixed effect plus an instrumental variables estimator in order to control for possible correlation between some of the components of the error term and the main independent variable, which is likely to cause a bias in the estimates. Differences in health status between siblings are identified by using exposure in early years of life to drought, wildfires, and associated smoke/haze, which seriously affected some parts of Indonesia in late 1997. The estimation results show that health capital (measured by height-for-age z-scores during childhood) significantly and positively affects the number of completed grades of schooling and the readiness to enter school. Nevertheless, I do not find significant evidence of an effect on cognitive test scores.

The canonical approach to analyse the poverty impact of growth is based on the comparison of poverty before and after growth. Measurement tools endorsing this approach fail to capture the different experiences of poverty dynamic in the population: there can be groups of the population made poorer or non‐poor made poor by growth. We propose an approach that allows measuring this individual poverty incidence of growth and show how it is related with existing models. We apply our framework to evaluate the poverty impact of growth in Indonesia, by comparing the 1993–2000 with the 2000–07 and 2007–14 growth spells.