Does attending a public or private university make a difference for students in Colombia?

In this paper, we explore the difference in quality between public and private higher education institutions (HEIs) in Colombia. We test whether the differences in the national exam that measures student performance (Saber Pro) between public and private institutions is statistically significant by...

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Autores:
Cayón Fallon, Edgardo
Correa Restrepo, Juan Santiago
Sarmiento Sabogal, Julio Alejandro
Tipo de recurso:
Article of investigation
Fecha de publicación:
2017
Institución:
Colegio de Estudios Superiores de Administración
Repositorio:
Repositorio CESA
Idioma:
eng
OAI Identifier:
oai:repository.cesa.edu.co:10726/5107
Acceso en línea:
http://hdl.handle.net/10726/5107
https://econjournals.com/index.php/irmm/article/view/4472
Palabra clave:
Education in Developing Economies
Higher Education Indicators
Public versus Private Universities
Student Performance
Rights
openAccess
License
Abierto (Texto Completo)
Description
Summary:In this paper, we explore the difference in quality between public and private higher education institutions (HEIs) in Colombia. We test whether the differences in the national exam that measures student performance (Saber Pro) between public and private institutions is statistically significant by employing a propensity matching score approach based on common financial characteristics to avoid issues of selection bias. The results indicate that the difference in student performance between public and private institutions is positive and statistically significant. There is evidence that students in private HEIs perform better in most areas of the Saber Pro than their public counterparts. This performance difference can be attributed to the substantial differences in the patterns of teaching expenditures and income per student between public and private HEIs. The results are robust, since we controlled for statistical differences between private and public universities in terms of growth of revenue, number of undergraduates, number of full-time professors, and income per student by using propensity matching estimators for counterfactual samples.