Evaluation of the Impact of the Educational Revolution in Peru and the Gender Wage Gap, 2017-2021
- Morán Santamaría, MBA. Rogger Orlando 1
- Llonto Caicedo, Yefferson 2
- Vela Meléndez, Lindon 2
- CÚNEO FERNÁNDEZ, FRANCISCO EDUARDO 1
- LIZANA GUEVARA, NIKOLAYS PEDRO 1
- CASTRO MEJIA, PERCY JUNIOR 1
- ARIAS GONZALES, HILDA PAOLA 1
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1
Universidad César Vallejo
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2
Universidad Nacional Pedro Ruíz Gallo
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Editor: Zenodo
Any de publicació: 2024
Tipus: Dataset
Resum
Introduction: The educational attainment of women and their value generation through education has led to the prospect of achieving economic equality between men and women. However, women continue to receive lower wages compared to men, reflecting the growing inequality in various countries. Objective: To estimate the impact of education on the gender wage gap in Peru during the period 2017-2021. aterials and Methods: A quantitative approach is considered, with an explanatory type of research aimed at identifying the impact of education on the gender wage gap in Peru during the period 2017-2021. The research design is non-experimental and uses a time series that analyzes the influence of the latent variable of education on the gender wage gap. This is a continuous variable for estimating the Tobit model. Results: The results show that the gender gap in Peru exhibited a decreasing trend between men and women during the period 2017-2020, with an average reduction of 10% until 2020 due to the health crisis. The highest average salary was achieved by men in 2019, reaching S/. 2289.97 soles, while women reached an average salary of S/. 1368.85 soles. In the post-pandemic scenario for 2021, the gender gap increased by 3%, with men earning an average salary of S/. 1999.63 soles and women earning an average salary of S/. 1281.16 soles. The analysis from 2017-2021 shows that years of education had a positive impact on the gender wage gap in Peru based on the Tobit model estimation. Conclusions: During the analysis period of 2017-2021, years of education had a positive impact on the gender wage gap in Peru, with the greatest impact occurring during the health crisis. The probability of women's incomes improving with an increase in years of education was 2.35%, while for men, the highest impact was in 2018, with a probability of income improvement of 2.16% in terms of marginal effect. Keywords: wage gap, income, education, educational policy, Tobit model