Nonparametric Estimation of Education Productivity with an Application to Dutch Schools

Shae Brennan, Carla Haelermans, John Ruggiero

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

In this paper we develop a malmquist productivity index for public sector production characterized by the influence of environmental variables. We extend johnson and ruggiero (2011) to the more general case of variable returns to scale to further decompose the malmquist productivity index into technical, efficiency, scale and environmental change. We apply our model to analyze productivity of dutch schools using 2002–2007 data. The results indicate that the environment influences the productivity index as well as the technical, efficiency, scale and environmental change components. We see that schools with a moderate classification of environment have the highest productivity numbers. In line with expectations, schools with the worst environment also perform worse and would perform better with an improved environment.
Original languageEnglish
Pages (from-to)809
Number of pages818
JournalEuropean Journal of Operational Research
Volume234
Issue number3
DOIs
Publication statusPublished - 2014

Cite this

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Nonparametric Estimation of Education Productivity with an Application to Dutch Schools. / Brennan, Shae; Haelermans, Carla; Ruggiero, John.

In: European Journal of Operational Research, Vol. 234, No. 3, 2014, p. 809.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Brennan, Shae

AU - Haelermans, Carla

AU - Ruggiero, John

PY - 2014

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AB - In this paper we develop a malmquist productivity index for public sector production characterized by the influence of environmental variables. We extend johnson and ruggiero (2011) to the more general case of variable returns to scale to further decompose the malmquist productivity index into technical, efficiency, scale and environmental change. We apply our model to analyze productivity of dutch schools using 2002–2007 data. The results indicate that the environment influences the productivity index as well as the technical, efficiency, scale and environmental change components. We see that schools with a moderate classification of environment have the highest productivity numbers. In line with expectations, schools with the worst environment also perform worse and would perform better with an improved environment.

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DO - 10.1016/j.ejor.2013.10.030

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JO - European Journal of Operational Research

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