naa a22 4500 510740103 CHVBK 20180411083025.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s12122-013-9168-y doi (NATIONALLICENCE)springer-10.1007/s12122-013-9168-y Schneider Markus Economics Department, University of Denver, 2000 E. Asbury Ave., 80208, Denver, CO, USA aut Illustrating the Implications of How Inequality is Measured: Decomposing Earnings Inequality by Race and Gender [Elektronische Daten] [Markus Schneider] 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 and the role of the composition of income along the distribution, and it provides a baseline assessment of the trend in earnings inequality for four distinct groups of income earners. The evolution of earnings inequality from 1995 to 2010 is compared to increasing inequality in total income as documented by Thomas Piketty and Emmanuel Saez to show that earnings inequality has followed a qualitatively similar, though less extreme trend. In the process, the disconnect between the trend in the Gini coefficient and inequality assessed via the share of income going to the top 1 % of income earners is reconciled through the use of several alternative inequality indices. Finally, the evolution of the earnings distribution for black women, black men, white women, and white men are considered separately, which shows that there are important differences in the experience of inequality. The main findings are that only white men have experienced changes in within-group earnings inequality that parallel the changes in inequality seen in the overall distribution. By contrast, black income earners have seen no notable increase in within-group inequality by any measure, suggesting that they may rightly perceive growing inequality as primarily a between-group phenomena. Springer Science+Business Media New York, 2013 Dagum distribution nationallicence Earnings inequality nationallicence Gini coefficient nationallicence Income distribution nationallicence Journal of Labor Research Springer US; http://www.springer-ny.com 34/4(2013-12-01), 476-514 0195-3613 34:4<476 2013 34 12122 https://doi.org/10.1007/s12122-013-9168-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12122-013-9168-y text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Schneider Markus Economics Department, University of Denver, 2000 E. Asbury Ave., 80208, Denver, CO, USA aut NATIONALLICENCE 773 0- Journal of Labor Research Springer US; http://www.springer-ny.com 34/4(2013-12-01), 476-514 0195-3613 34:4<476 2013 34 12122 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer