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Productivity Measurement

In: Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis

Author

Listed:
  • Vincent Blackburn

    (New South Wales Department of Education and Communities)

  • Shae Brennan

    (University of Cincinnati)

  • John Ruggiero

    (University of Dayton)

Abstract

In this chapter we extend our analysis to panel data to allow us to measure productivity changes. We analyze shifts in the frontier with distance functions to measure productivity. The standard decomposition of the Malmquist Productivity Index (MPI) to measure efficiency change, technical change, and scale efficiency change. Following Brennan, Haelermans and Ruggiero (2013), we further decompose the Malmquist productivity index for public sector production characterized by the influence of environmental variables. We derive decomposed measures of technical, efficiency, scale, and environmental change and apply this decomposition to the 2008–2009 and 2009–2010 school years for both primary and secondary Australian public schools. In the next sections, we redefine our technology to be time specific and present our measures of the public sector Malmquist Productivity Index and its components. Much of the modeling and discussion in this chapter is borrowed from Brennan, Haelermans and Ruggiero (2013).

Suggested Citation

  • Vincent Blackburn & Shae Brennan & John Ruggiero, 2014. "Productivity Measurement," International Series in Operations Research & Management Science, in: Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis, edition 127, chapter 0, pages 125-139, Springer.
    • Handle: RePEc:spr:isochp:978-1-4899-7469-3_6
    DOI: 10.1007/978-1-4899-7469-3_6
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