Following a methodology proposed by Jantzen and Volpert (2012), we use IRS Adjusted Gross Income (AGI) data for the United States (1921-2012) to estimate two Gini-like indices representing inequality at the bottom and the top of the income distribution. We also calculate the overall Gini index...

This paper revisits the fitting of parametric distributions to earned income data. In line with Camilo Dagum's dictum that candidate distribution should not only be chosen for fit, but that economic content should also play a role, a new candidate is proposed. The fit of a simple finite mixture...

Following a methodology proposed by Jantzen and Volpert (2012), we use IRS Adjusted Gross Income (AGI) data for the United States (1921-2012) to estimate two Gini-like indices representing inequality at the bottom and the top of the income distribution. We also calculate the overall Gini index...

In our paper, "A Tale of Two Ginis" (Schneider and Tavani, 2016), we presented estimates for two indices of inequality for inequality at the top and the bottom of income distribution based on Jantzen and Volpert (2012). The estimates of the Gini for the bottom of the distribution were based on a...