The study uses the Human Capital Index to explain the net and market Gini coefficient. The unbalanced panel includes 103 countries from 1988 to 2018 with different panels based on income and region. The econometric model employs two-way fixed effects and Driscoll and Kraay standard errors to account for heteroscedasticity, serial correlation, and cross-sectional dependence. The study finds that the Human Capital Index has an indirect relationship with the net and market Gini coefficients in most cases. Low income and African countries have a direct relationship with Gini coefficients. The direct relationship may demonstrate a more prominent labor composition effect. The statistically significant market (before tax and transfer) Gini coefficient results suggest human capital has a labor market effect that influences income distribution even before tax and redistribution policy. Additionally, there are fewer cases of statistical significance when returns to education are removed, and gross enrollment is the education measure. JEL: 010
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