TY - JOUR
T1 - Unveiling Injustice
T2 - Analyzing Child Mortality Inequality across decades in Peru (1981–2017)
AU - Huaroto, César
AU - Francke, Pedro
AU - Vivas, Claudia
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2026/1
Y1 - 2026/1
N2 - Peru is a developing country that has significantly improved the average of almost all health indicators. Specifically, in the past four decades, child mortality decreased tenfold. However, the same is not necessarily true of equality, which remains a challenge. Using microdata from Peru's population censuses in 1981, 1993, 2007, and 2017, we estimate the inequality in child mortality across different social groups. We estimate differences between ethnic groups, education levels, wealth quintiles, regions, and urban–rural groups and find that although inequality has decreased, it remains significantly high. The data show that inequality in child mortality increased between 1981 and 1993, declined between 1993 and 2007, and then increased between 2007 and 2017. Differences in education are the most crucial factor, associated with 45 % of the inequality in 1981 and 58 % in 2017. Differences between Lima and rural areas account for 27 % to 30 % of the inequality, while ethnicity contributes only 6 % in 1981 and 10 % in 2017.
AB - Peru is a developing country that has significantly improved the average of almost all health indicators. Specifically, in the past four decades, child mortality decreased tenfold. However, the same is not necessarily true of equality, which remains a challenge. Using microdata from Peru's population censuses in 1981, 1993, 2007, and 2017, we estimate the inequality in child mortality across different social groups. We estimate differences between ethnic groups, education levels, wealth quintiles, regions, and urban–rural groups and find that although inequality has decreased, it remains significantly high. The data show that inequality in child mortality increased between 1981 and 1993, declined between 1993 and 2007, and then increased between 2007 and 2017. Differences in education are the most crucial factor, associated with 45 % of the inequality in 1981 and 58 % in 2017. Differences between Lima and rural areas account for 27 % to 30 % of the inequality, while ethnicity contributes only 6 % in 1981 and 10 % in 2017.
KW - Child mortality
KW - Health inequality
KW - Indigenous populations
KW - Long-term trends
KW - Rural-urban disparities
KW - Social Determinants of Health
UR - https://www.scopus.com/pages/publications/105018617995
U2 - 10.1016/j.worlddev.2025.107198
DO - 10.1016/j.worlddev.2025.107198
M3 - Article
AN - SCOPUS:105018617995
SN - 0305-750X
VL - 197
JO - World Development
JF - World Development
M1 - 107198
ER -