Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Equal Opportunities to Access the University in Chile? An Application with a Spatial Heckman Probit Model

Version 1 : Received: 30 November 2021 / Approved: 2 December 2021 / Online: 2 December 2021 (08:08:42 CET)
Version 2 : Received: 18 December 2021 / Approved: 20 December 2021 / Online: 20 December 2021 (10:47:44 CET)

A peer-reviewed article of this Preprint also exists.

Quiroz, J.L.; Peeters, L.; Chasco, C.; Aroca, P. Equal Access to University Education in Chile? An Application Using Spatial Heckman Probit Models. Mathematics 2022, 10, 280. Quiroz, J.L.; Peeters, L.; Chasco, C.; Aroca, P. Equal Access to University Education in Chile? An Application Using Spatial Heckman Probit Models. Mathematics 2022, 10, 280.

Journal reference: Mathematics 2022, 10, 280
DOI: 10.3390/math10020280

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

Subject

SOCIAL SCIENCES, Econometrics & Statistics

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