Economic return of university graduates of the Puno region

Abstract

The objective is to identify the socio-economic factors that influence the probability of achieving a return in university higher education in the Puno region. The methodology is based on the use of the Mincer equation, being the dependent variable, the levels of monthly salary income of the graduate. The information was obtained from a survey applied to young people whose graduation period was 2008-2014 in public and private universities in the region and graduates were grouped by areas of knowledge such as: Business and economic sciences; Human life sciences; Social Sciences; Construction Engineering- Mining- Electricity; Animal life sciences and basic sciences. Initially, a statistical description of the data was carried out and then the maximum likelihood economic analysis technique was applied, with the ordered probit model and the marginal effects that explain that the probability of obtaining high monthly wages depend on the chosen career were analyzed, of the sex of the graduate and his age, but not of his experience or the level of education attained by the parents. The results indicate that, for income between 1001 and 2000 soles, they indicate the Social Sciences degrees. For incomes between 2001 and 3000 soles, the business and economic sciences careers are included along with the careers in agricultural sciences and animal life sciences. Finally, for income between 3001 to 4,000 soles, engineering careers, linked to civil construction, stood out; mining and electricity. As well as careers in the sciences of human life, highlighting medicine.