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This paper examines the link between parental income during adolescent years and higher education choices of the offspring at age 18. This study is the first to use a recent longitudinal data set from New Zealand (Christchurch Health and Development Surveys, CHDS), in the higher education context. The paper examines the impact of family income and other resources throughout adolescent years on later decisions to participate in higher education and the choice of type of tertiary education at age 18. A binary choice model of participation in education, and a multinomial choice model of the broader set of choices faced at age 18, of employment, university, or polytechnic participation are estimated. Among the features of the study are that it incorporates a number of variables, from birth to age 18, which allow us to control further than most earlier studies for ability heterogeneity, academic performance in secondary school, in addition to parental resources (e.g. childhood IQ, nationally comparable high school academic performance, peer effects, family size and family financial information over time). The results highlight useful features of intergenerational participation in higher education, and the effect of parental income on university education, in particular.

This volume brings together a number of papers related to the theme of the dynamics of inequality and poverty.

Recent studies have examined tax policy issues using labour supply models characterised by a discretised budget set. Microsimulation modelling using a discrete hours approach is probabilistic. This makes analysis of the distribution of income difficult as even for a small sample with a modest range of labour supply points the range of possible labour supply combinations over the sample is extremely large. This paper proposes a method of approximating measures of income distribution and compares the performance of this method to alternative approaches in a microsimulation context. In this approach a pseudo income distribution is constructed, which uses the probability of a particular labour supply value occurring (standardised by the population size) to refer to a particular position in the pseudo income distribution. This approach is compared to using an expected income level for each individual and to a simulated approach, in which labour supply values are drawn from each individual’s hours distribution and summary statistics of the distribution of income are calculated by taking the average over each set of draws. The paper shows that the outcomes of various distributional measures using the pseudo method converge quickly to their true values as the sample size increases. The expected income approach results in a less accurate approximation. To illustrate the method, we simulate the distributional implications of a tax reform using the Melbourne Institute Tax and Transfer Simulator.

In this paper, we examine the concept of “vulnerability” within the context of income mobility of the poor. We test for the dynamics of vulnerable households in the UK using waves 1–12 of the British Household Panel Survey and find that, of three different types of risks that we test for, household-specific shocks and economy-wide aggregate shocks have the greatest impact on consumption, in comparison to shocks to the income stream.

A cross-country comparison of generational earnings mobility is offered, and the reasons for the degree to which the long-run labour market success of children is related to that of their parents is examined. The rich countries differ significantly in the extent to which parental economic status is related to the labour market success of children in adulthood. The strength of these associations should not be interpreted as offering a target or menu for the conduct of policy. A framework for understanding the underlying causal process as well as the conception of equality of opportunity is reviewed as a guide for public policy.

Theil's approach to the measurement of inequality is set in the context of subsequent developments over recent decades. It is shown that Theil's initial insight leads naturally to a very general class of decomposable inequality measures. It is thus closely related to a number of other commonly used families of inequality measures.

The distribution of income and wealth are generally regarded as key performance indicators of a society. Cross-sectional analyses of Australian income and wealth distributions at various points in time have found that both are highly unequal. However, lifetime distributions may be quite different. This paper provides some insight into the differences for one of these distributions – wealth.

A dynamic microsimulation model of the Australian population is used to project the cross-sectional and lifetime asset holdings of a 5-year birth cohort over a period of 40 years. The annual personal net worth of this birth cohort are analysed in regard to age and net worth, the changing wealth distribution within the cohort, wealth mobility, and a comparison of lifetime and cross-sectional distributions.

Inequality in the distribution of family income in the U.S., which had remained virtually unchanged since the end of World War II until 1968, has increased sharply since then. In contrast, schooling and skill inequality has declined rather steadily over the postwar period. Another notable change over the past 30 years or so has been the widespread diffusion of computers. Using aggregate time-series data for the 1947–2000 period, I find that the largest effects on inequality come from office, computing and accounting equipment (OCA) investment, which accounted for about half of the rise in inequality between 1968 and 2000. The unionization rate is second in importance, and its decline over this period explains about 40 percent of the increase in inequality. The decline in the dispersion of schooling, on the other hand, plays almost no role in explaining the rise in inequality. On the basis of pooled time series, industry regressions for the 1970–2000 period, I also find that investment in OCA is positively related to changes in skill inequality, while changes in the unionization rate are negatively related.

An axiomatic approach is used to propose a measure of extreme poverty which is not only multidimensional in nature, but also recognizes the fact that there are interaction effects between different deprivations, and that the length of time during which deprivations are felt may also have a negative impact on household well-being. The proposed definition of extreme poverty formalizes an approach developed by Joseph Wresinski, the founder of the International Movement ATD Fourth World.