Submitted:
30 November 2021
Posted:
02 December 2021
Read the latest preprint version here
Abstract
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.
Keywords:
Heckit models
; spatial effects
; local spatial autocorrelation
; SLX model
; education accessibility
; Chile
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