Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis

  • Vincent Blackburn
  • Shae Brennan
  • John Ruggiero

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 214)

Table of contents

  1. Front Matter
    Pages i-x
  2. Vincent Blackburn, Shae Brennan, John Ruggiero
    Pages 1-10
  3. Vincent Blackburn, Shae Brennan, John Ruggiero
    Pages 11-49
  4. Vincent Blackburn, Shae Brennan, John Ruggiero
    Pages 51-99
  5. Vincent Blackburn, Shae Brennan, John Ruggiero
    Pages 101-117
  6. Vincent Blackburn, Shae Brennan, John Ruggiero
    Pages 119-123
  7. Vincent Blackburn, Shae Brennan, John Ruggiero
    Pages 125-139
  8. Back Matter
    Pages 141-152

About this book

Introduction

This book provides a complete analysis of educational production and costs using the nonparametric technique known as Data Envelopment Analysis (DEA). The book focuses on estimation of technical, allocative and scale efficiency in the public sector characterized by the influence of exogenous socio-economic variables. State of the art DEA models will be presented and fully discussed. Specific education topics important to policy makers including adequacy, technical, allocative and scale efficiency, productivity and environmental costs will be analyzed. To illustrate how these techniques can be applied to school systems worldwide, the authors use data on Australian elementary and high schools to develop nonparametric measures that will help inform current policy debate in Australia.

The purpose of the book is to provide a comprehensive analysis of educational production using numerous public sector DEA models. We provide a review of DEA with SAS programming code to estimate technical, scale and allocative efficiency in chapter 2. In chapter 3, we extend the DEA models to control for exogenous factors of production. SAS code is also provided to estimate all public sector models. We use simulated data to illustrate the results. Chapters 4–6 provide a complete analysis of the primary and secondary schools. We analyze input and output oriented models and derive measures of technical, allocative and scale efficiency. We also provide estimates of environmental costs that arise from schools facing different operating environments based on socioeconomic conditions. In addition, we show how DEA can provide insight on adequacy—the minimum cost of providing a pre-defined adequate education. The models presented are consistent with public sector production in general and educational production in particular. We also provide a complete analysis of educational productivity for both primary and secondary schools using state of the art public sector Malmquist measures. The authors use current data on Australian schools to highlight important policy questions related to efficiency and productivity given concerns that schools are not allocatively scarce resources in an economic efficient way.

This research focus comes at an important watershed moment in the Australian Federal Governments’ current involvement in designing new nationally consistent funding models for both government and non-government schooling sectors with effect from 2014. A new National School Resourcing Standard is proposed to be implemented signaling a move to resource adequacy, school efficiency and value for money dimensions. These standards are consistent with the measures presented and estimated in this book. As a result, the models implemented in this book can serve as the basis to evaluate the funding changes associated with the transition from a ‘centralized’ to a new ‘decentralized’ set of school funding arrangements.

 

Keywords

DEA Data Envelopment Analysis Educational Production Efficiency Nonparametric Estimation Production Analysis

Authors and affiliations

  • Vincent Blackburn
    • 1
  • Shae Brennan
    • 2
  • John Ruggiero
    • 3
  1. 1.New South Wales Department of Education and CommunitiesGround Unit 5Pyrmont, SydneyAustralia
  2. 2.University of CincinnatiCincinnatiUSA
  3. 3.Department of Economics and FinanceUniversity of DaytonDaytonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4899-7469-3
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, Boston, MA
  • eBook Packages Business and Economics
  • Print ISBN 978-1-4899-7468-6
  • Online ISBN 978-1-4899-7469-3
  • Series Print ISSN 0884-8289
  • Series Online ISSN 2214-7934
  • About this book
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