The aim of this article focuses on analyzing the impact of trade liberalization, human capital, private credit, and variables related to work and specialization on income inequality in Peru during the period from 1997 to 2019. A multiple linear regression model based on the multiple least squares (OLS) methodology is applied, using time series data that mathematizes the relationship between these variables and income inequality, considering the specialization of the labor supply. The relation between the independent variables, human capital and trade openness, and the dependent variable, the Gini, was verified by measuring inequality in the final model. It is important to mention that the effects of historical events that affected the market in 2007, 2011 and 2019 have been considered. The debate about the true impact of economic openness on income inequality has been present throughout ...