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...

This paper provides a self-contained introduction to the British Household Panel Survey (BHPS), concentrating on aspects relevant to analysis of the distribution of household income. I discuss BHPS design features and how data on net household income are derived. The BHPS net household income...

We provide new evidence about earnings and labour market volatility in Britain over the period 1992-2008, and for women as well as men. (Most research about volatility refers to earnings volatility for US men.) We show that earnings volatility declined slightly for both men and women over the...

We use data from the youth component of the British Household Panel Survey to examine how educational attitudes and aspirations among 11-15 year olds vary across the business cycle. We find that the impact of the local unemployment rate on children's attitudes and aspirations varies...

We use data from the youth component of the British Household Panel Survey to examine gender differences in educational attitudes and aspirations among 11-15 year olds. While girls have more positive aspirations and attitudes than boys, the impacts of gender on children's attitudes and...

Estimates of UK income inequality trends differ substantially according to whether estimates are based on household survey data (used for official statistics) or tax return data (used in the top incomes literature). We reconcile differences in variable definitions and combine survey and tax...

I determine UK income inequality levels and trends by combining inequality estimates from tax return data (for the "rich") and household survey data (for the "non-rich"), taking advantage of the better coverage of top incomes in tax return data (which I demonstrate) and creating income variables...