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Magnitude and evolution of gender and race contributions to earnings inequality across US regions
Authors:Frédéric Chantreuil  Kévin Fourrey  Isabelle Lebon  Thérèse Rebière
Affiliation:1. University of New Caledonia, LARJE, Ateliers DEG, BP R4 98851 Nouméa Cedex, New Caledonia, and TEPP-CNRS, France;2. CEET-CNAM, 29 promenade Michel Simon, 93160 Noisy-le-Grand, LIRSA and TEPP-CNRS, France;3. CREM-CNRS, University of Caen Normandy, MRSH, Esplanade de la Paix, 14032 Caen Cedex, and TEPP-CNRS, France;4. Lirsa-CNAM, IZA, Ceet and TEPP-CNRS, Department of Economics, 40 rue des Jeûneurs, Case 1D2P30, Paris 75002, France
Abstract:This paper studies individual characteristics of earnings inequality within the population of blacks and whites in the United States over the period 2005–2017. Beyond education and age serving as a proxy for professional experience, applying a new Shapley income decomposition methodology enables us to isolate and measure two discriminative factors in earnings differences: race and gender. We show that these two factors explain a significant share of total earnings inequality, as defined by the Gini index, for all the geographical administrative divisions used. Whatever the division, the share of earnings inequality associated with gender greatly exceeds that of race. While gender earnings inequality has fallen over time, inequality associated with race has tended to increase since 2010 and is stronger in the Southeast of the country.
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