DEA in the Public Sector

Vincent Blackburn, Shae Brennan and John Ruggiero
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Vincent Blackburn: New South Wales Department of Education and Communities
Shae Brennan: University of Cincinnati
John Ruggiero: University of Dayton

Chapter Chapter 3 in Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis, 2014, pp 51-99 from Springer

Abstract: Abstract In the previous chapter, standard DEA models analyzing the performance of DMUs producing multiple outputs using multiple inputs were presented. These models provide a useful starting point for analyzing educational and other public sector production processes. One of the key distinguishing features of public sector publication is the presence of non-discretionary environmental factors of production that introduces heterogeneity among decision making units. It is well known, for example, that socioeconomic factors such as income, poverty, parental education etc. play a large role in the production of output. In fire services, the material of the houses (brick vs. wood) determines how successful firefighters will be in putting out fires. In health care, preexisting conditions and age of the patients could determine the success of a particular treatment.

Keywords: Technical Efficiency; Favorable Environment; Scale Efficiency; Allocative Efficiency; Technical Inefficiency (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-1-4899-7469-3_3

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