Published December 14, 2021 | Version v2
Dataset

Access the university. A spatial Heckman probit model.

  • 1. Universidad Autónoma de Madrid
  • 2. Hasselt University
  • 3. University Adolfo Ibáñez

Description

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.

Methods

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

Technical info

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

Series information

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

Additional details

Identifiers

b2rec
b434ff0201074090a9bea92563c8c59f

Funding

FONDECYT Project, grant number 1171230
eS-MiData Project, grant number 447379001

Temporal Coverage

Ranges:

Start date: 2015-12-31
End date: 2016-12-30