Citas bibligráficas
Laura, J., Palomino, G. (2020). Factores determinantes en los retornos económicos de la educación superior del departamento del Cusco, 2015 - 2018 [Tesis, Universidad Andina del Cusco]. https://hdl.handle.net/20.500.12557/3659
Laura, J., Palomino, G. Factores determinantes en los retornos económicos de la educación superior del departamento del Cusco, 2015 - 2018 [Tesis]. PE: Universidad Andina del Cusco; 2020. https://hdl.handle.net/20.500.12557/3659
@misc{renati/18219,
title = "Factores determinantes en los retornos económicos de la educación superior del departamento del Cusco, 2015 - 2018",
author = "Palomino Panca, Guido Jeanpiere",
publisher = "Universidad Andina del Cusco",
year = "2020"
}
This research, entitled “Determinant Factors in the Economic Returns of Higher Education of the Department of Cusco, 2015 - 2018“ studies what are the determining factors in the economic returns of higher education, which are the educational level, the Employment and age. The general objective of the research is to determine the determining factors in the economic returns of higher education in the department of Cusco, 2015 - 2018, for this, each study variable will be analyzed in a specific and quantifiable way in order to specify the extent to which these independent variables to the dependent variable. The research is applied, with a quantitative approach since the measurements obtained using statistical methods are analyzed, this research is longitudinal with a cross-sectional data analysis because it is measured over a period of time and analyzed year by year. For which the data obtained from the National Household Survey (ENAHO) is used for the different years of study, using the STATA statistical program for data processing and analysis. On the basis of the Mincer theory, the econometric model has been elaborated, having as more relevant findings than the variables (educational level, employment and age) if they are determining factors in the economic returns of higher education, since, according to the results obtained, the Independent variables explain 40% on average to the dependent variable, a P- value less than 0.005 was found, so all null hypotheses were rejected. It was also shown that the higher the level of education, the higher the income, it was also observed that the higher level of university education has higher economic returns compared to the Non-University, in turn the employment sector influences wages, being more favorable to work in the public sector since this generates greater income. If it is true that age also influences not so significantly but only to a certain extent, since after a certain age income begins to decrease.
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