Citas bibligráficas
Pinedo, J., Condori, V. (2019). Incidencia de la situación socioeconómica en el trabajo infantil de la región del Cusco en el año 2018 [Tesis, Universidad Andina del Cusco]. https://hdl.handle.net/20.500.12557/3658
Pinedo, J., Condori, V. Incidencia de la situación socioeconómica en el trabajo infantil de la región del Cusco en el año 2018 [Tesis]. : Universidad Andina del Cusco; 2019. https://hdl.handle.net/20.500.12557/3658
@misc{renati/20932,
title = "Incidencia de la situación socioeconómica en el trabajo infantil de la región del Cusco en el año 2018",
author = "Condori Yañez, Víctor Ronaldinho",
publisher = "Universidad Andina del Cusco",
year = "2019"
}
This research seeks to identify how the socioeconomic status of families has generated child labor in the Cusco region during the year 2018. Child labor is alarming since in many cases the vast majority of these children and adolescents are working in activities that are illegal activities stories such as prostitution, illegal mining among others. On the other hand, it is estimated that the rate of child labor in Peru is 21.8%, the highest in South America. Faced with this situation, it becomes relevant to know how the socioeconomic situation has challenged child labor. The data of the National Household Survey (ENAHO) of INEI from 2018 will be used, with a non-experimental design. ENAHO includes the type of activity carried out and the number of children between 5 and 14 years of age working. The multivariate logit model is used to identify the effect of the socioeconomic status of families on the probability of working. Among the most relevant results of the research, Child Labor is a generator due to the socioeconomic status of families in the Cusco region. The level of household income, the level of education and the area of residence influence the level of child labor and are statistically significant. The level of income of the family has a negative impact on the level of child labor in the Cusco region since the probability of working is reduced by a factor of 0.97 when income increases by 100 soles; Effect is statistically significant. The level of education has a negative impact on child labor in the Cusco region and the probability of working is reduced by a factor of 0.8 when studies increase from one level to another statistically significant effect to 1%. The area of residence has a negative impact on the level of child labor in the Cusco region since the probability of working increases by a factor of 3.48 when the person lives in the rural area compared to living in the urban area, the effect is statistically significant at 1%.
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