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...

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...

This paper makes three distinct contributions: it presents a novel modification to an established methodology for assessing inequality using the CPS ASEC data, it illustrates how valuable a multi-metric inequality analysis is by reconciling some open questions regarding the trend in inequality...