Using internal and public use March Current Population Survey data, we analyze trends in US income inequality (19752004). Using a multiple imputation approach where values for censored observations are imputed using draws from a Generalized Beta distribution of the Second Kind, we find that the...

To measure income inequality with right censored (topcoded) data, we propose multiple imputation for censored observations using draws from Generalized Beta of the Second Kind distributions to provide partially synthetic datasets analyzed using complete data methods. Estimation and inference...

Although the majority of research on US income inequality trends is based on public-use March CPS data, a new wave of research using IRS tax return data reports substantially higher levels of inequality and faster growing trends. We show that these apparently inconsistent estimates are largely...

The March Current Population Survey (CPS) is the primary data source for estimation of levels and trends in labor earnings and income inequality in the USA. Time-inconsistency problems related to top coding in theses data have led many researchers to use the ratio of the 90th and 10th...

It is well known that the long-term unemployed fare worse in the labor market than the short-term unemployed, but less clear why this is so. One potential explanation is that the long-term unemployed are "bad apples" who had poorer prospects from the outset of their spells (heterogeneity)....

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...

Although industrialized nations have long provided public protection to working-age individuals with disabilities, the form has changed over time. The impetus for change has been multi-faceted: rapid growth in program costs; greater awareness that people with impairments are able and willing to...