Dataset accompanying the publication "Equal opportunities to access the university in Chile? An application with a spatial Heckman probit model" (Land, already submitted). This study contributes to the debate on accessibility of higher education in Chile, focusing on both socioeconomic and geospatial dimensions of access to university study. The central question we address in this paper is the following: Does geography (physical distance and neighborhood effects) play a significant role in determining accessibility of higher education in Chile? We use Heckman probit-type (Heckit) models to adjust for selection in the process of completing the trajectory towards higher education – that is, pre-selection, application to study at university, and ultimately admission (or denial) to a higher education institution. The results shows that the geospatial elements have a significant local effect on the student’s application and access to Chilean universities.

SLX-type spatial Heckman probit model of local spatial autocorrelation.

A STATA package must be previously installed: "st0085_2".

The publication contains anonymized records of 2016 PSU candidates (Chile), that is, individual-level determinants of university access in Chile. - Observations = 299,783 - Variables = 25 - Year = 2016