We propose a framework for comparing the relationship between poverty and personal characteristics across countries (or across years), and use it to compare levels and patterns of relative poverty in the USA, Great Britain and Germany during the 1990s. The higher aggregate poverty rates in the...

How to undertake distributional comparisons when personal well-being is measured using income is well-established. But what if personal well-being is measured using subjective well-being indicators such as life satisfaction or self-assessed health status? Has average well-being increased or...

Non-intersection of appropriately-defined Generalized Lorenz (GL) curves is equivalent to a unanimous ranking of distributions of ordinal data by all Cowell and Flachaire (Economica 2017) indices of inequality and by a new index based on GL curve areas. Comparisons of life satisfaction...

Assessments of whose income growth is the greatest and whose is the smallest are typically based on comparisons of income changes for income groups (e.g. rich versus poor) or income values (e.g. quantiles). However, income group and quantile composition changes over time because of income...

Assessments of whose income growth is the greatest and whose is the smallest are typically based on comparisons of income changes for income groups (e.g. rich versus poor) or income values (e.g. quantiles). However, income group and quantile composition changes over time because of income...

We argue that the relationship between individual satisfaction with life (SWL) and SWL inequality is more complex than described by leading earlier research such as Goff, Helliwell, and Mayraz (Economic Inquiry, 2018). Using inequality indices appropriate for ordinal data, our analysis using the...

To compare distributions of ordinal data such as individuals' responses on Likert-type scale variables summarizing subjective well-being, we should not apply the toolbox of methods developed for cardinal variables such as income. Instead we should use an analogous toolbox which takes account of...

The techniques of simple random sampling are seldom appropriate in the empirical analysis of income distributions. Various types of weighting schemes are usually required either from the point of view of welfare-economic considerations (the mapping of household/family distributions into...

This chapter describes the UK income distribution and how it has evolved over the last 50 years. It also includes some comparisons with the income distributions of other rich countries. Multiple perspectives on the distribution are provided: there is evidence about real income levels and...