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Do dropout and environmental factors matter? A directional distance function assessment of tunisian education efficiency

Fatma Ben Yahia, Hédi Essid () and Sonia Rebai

International Journal of Educational Development, 2018, vol. 60, issue C, 120-127

Abstract: The purpose of this paper is to investigate the education efficiency in Tunisia based on a sample of secondary schools. We place some special focus on schools resources and corresponding dropout levels. We use the Directional Distance Function (DDF) methodology to simultaneously deal with bad outputs and non-discretionary inputs. Our assessment is based on Data Envelopment Analysis (DEA) method. The data is extracted from the Program for International Student Assessment (PISA) 2012 survey. We generate four models through various inputs and outputs specifications while considering dropout levels and education environment. Our empirical study reveals strong influence between education performance and both school infrastructure and educational resources. In particular, the financial constraints seem to have real effect on the dropout levels.

Keywords: Educational economics; Efficiency; Data envelopment analysis; Directional distance function; Undesirable outputs; Non-discretionary inputs (search for similar items in EconPapers)
JEL-codes: D2 I2 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:injoed:v:60:y:2018:i:c:p:120-127

DOI: 10.1016/j.ijedudev.2017.11.004

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