We provide a common set of life-cycle earnings statistics using administrative data from the United States, Canada, Denmark and Sweden. Three qualitative patterns are common across countries: (1) the earnings distribution above the median fans out with age, (2) the extreme right tail of the...

Survey under-coverage of top incomes leads to bias in survey-based estimates of overall income inequality. Using income tax record data in combination with survey data is a potential approach to address the problem; we consider here the UK's pioneering 'SPI adjustment' method that implements...

This paper explores the consequences of the under-representation of women in top jobs for the overall gender pay gap. Using administrative annual earnings data from Canada, Sweden, and the United Kingdom, it applies the approach used in the analysis of earnings inequality in top incomes, as well...

During the last decade, research on income inequality has paid special attention to top income earners. At the same time, top marginal tax rates on upper income earners have declined sharply in many OECD countries. Discussions are still open on the relationship between the increase of the income...

The authors analyze to what extent and how the tax burden should be shifted towards top income earners in order to reduce income inequality. Starting from Lambert and Aronson (Inequality decomposition analysis and the Gini coefficient revisited 1993) and Alvaredo (A note on the relationship...

This paper applies a novel inequality estimation method to household consumption expenditure in Mumbai, India. Since the richest households may be missing in survey data, this reestimated inequality figure takes them into account by combining survey data with house price data. However,...

With the data on the top incomes collected from different sources, we combine the samples of the top incomes with a household survey to investigate changes in the income distribution with and without the top incomes. The Gini coefficient of income inequality using household survey data is 0.464...