Economics at your fingertips  

Assessing the efficiency of secondary schools: Evidence from OECD countries participating in PISA 2015

Jose Manuel Cordero, Cristina Polo and Rosa Simancas

Socio-Economic Planning Sciences, 2022, vol. 81, issue C

Abstract: One of the most important issues accompanying the publication of the main results of the well-known Programme for International Student Assessment (PISA) is the classification of countries according to student attainment. However, this ranking does not take into account some highly relevant factors, such as the different resource endowments of each education system or the heterogeneous context in which schools operate. This study aims to provide a fuller picture of education system operation worldwide by assessing the managerial efficiency of secondary schools in a cross-country framework. To do this, we use data from OECD countries participating in PISA 2015 and apply a robust nonparametric approach that accounts for the fact that schools were operating under heterogeneous conditions before the efficiency measures of performance were estimated. Our results suggest that the consideration of both school resources and environmental factors significantly modifies the country ranking based solely on student results.

Keywords: Student attainment; Efficiency; Nonparametric methods; Cross-country analysis; Robust frontiers (search for similar items in EconPapers)
JEL-codes: C14 H75 I21 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.1016/j.seps.2020.100927

Access Statistics for this article

Socio-Economic Planning Sciences is currently edited by Barnett R. Parker

More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

Page updated 2022-07-09
Handle: RePEc:eee:soceps:v:81:y:2022:i:c:s003801211930672x