How Much Do We Know About Wealth Distribution in Australia?

This paper surveys what is known about wealth distribution in Australia and concludes that our knowledge is scanty. The most reliable evidence comes from studies using probate returns and with the abolition of estate duties, these studies are becoming out of date. However, it is clear that wealth is very unequally distributed. The top 5 per cent of adult individuals own between 40 and 50 per cent of the wealth. This inequality is not just due to life cycle effects, and there is no strong evidence that wealth distribution has become more equal in Australia in the period since the First World War.     

Regression Revisited

Sir Francis Galton introduced median regression and the use of the quantile function to describe distributions. Very early on the tradition moved to mean regression and the universal use of the Normal distribution, either as the natural ‘error’ distribution or as one forced by transformation. Though the introduction of ‘quantile regression’ refocused attention on the shape of the variability about the line, it uses nonparametric approaches and so ignores the actual distribution of the ‘error’ term. This paper seeks to show how Galton's approach enables the complete regression model, deterministic and stochastic elements, to be modelled, fitted and investigated. The emphasis is on the range of models that can be used for the stochastic element. It is noted that as the deterministic terms can be built up from components, so to, using quantile functions, can the stochastic element. The model may thus be treated in both modelling and fitting as a unity. Some evidence is presented to justify the use of a much wider range of distributional models than is usually considered and to emphasize their flexibility in extending regression models.     

Psychographic constructs and demographic segments

As marketers attempt to place advertisements based on demographic profiles, the use of psychographic information becomes more important. The purpose of this research is to evaluate the validity of selected psychographic measures as well as to then relate these constructs to demographic segments. The analysis, using LISREL VI, assesses the constructs, which then, based on MANOV, are related to demographic segments. Implications of the study for validating psychographic measures and for applying this knowledge are discussed. © 1995 John Wiley & Sons, Inc.