An application of the probit model on the neighborhood effect in educational environments

Abstract

Being able to rely on statistical analysis methods that allow describing and predicting results in the educational field under technological support has become a necessity at all levels, from primary to higher education, since it allows identifying shortcomings and opportunities in a local or general area, such as dropout, repetition, and student advancement or failure. That is why it is intended in this article to observe and study the multiple variables that could be related to the performance of students in educational centers, considering the quality of the neighborhood in the first instance. Estimating a spatial model of house prices to characterize which micro-neighborhoods the homes of the students are exposed to. The quality of the neighborhood will be used as an important explanatory variable to analyze the probability of influence on the performance of the students of the educational centers, in which it is intended to use geographic location data to apply spatial econometrics models. The objective is that this methodology can be used in different academic environments, for example, in higher education classrooms where more variability is perceived in the distribution of student residences.