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book chapter · Cambridge University Press eBooks · 2006

Data envelopment analysis

Rowena Jacobs, Peter Smith, Andrew Street

Cited by 19Abstract and details only

Abstract

Data envelopment analysis (DEA) has become the dominant approach to efficiency measurement in health care and in many other sectors of the economy (Hollingsworth 2003). While the parametric approach is guided by economic theory, DEA is a data-driven approach. The location (and the shape) of the efficiency frontier is determined by the data, using the simple notion that an organisation that employs less input than another to produce the same amount of output can be considered more efficient. Those observations with the highest ratios of output to input are considered efficient, and the efficiency frontier is constructed by joining these observations up in the input-output space. The frontier thus comprises a series of linear segments connecting one efficient observation to another. The construction of the frontier is based on ‘best observed practice’ and is therefore only an approximation to the true, unobserved efficiency frontier.

Cite this paper

APA 7

Jacobs, R., Smith, P., & Street, A. (2006). Data envelopment analysis. Cambridge University Press eBooks, 91–128. https://doi.org/10.1017/cbo9780511617492.006

MLA 9

Jacobs, Rowena, et al. “Data envelopment analysis.” Cambridge University Press eBooks, 2006, pp. 91–128, https://doi.org/10.1017/cbo9780511617492.006.

Chicago

Jacobs, Rowena, Peter Smith, and Andrew Street. 2006. “Data envelopment analysis.” Cambridge University Press eBooks: 91–128. https://doi.org/10.1017/cbo9780511617492.006.

Harvard

Jacobs, R., Smith, P. and Street, A. (2006) ‘Data envelopment analysis’, Cambridge University Press eBooks, pp. 91–128. Available at: https://doi.org/10.1017/cbo9780511617492.006.

BibTeX
@incollection{jacobs2006data,
  title = {{Data envelopment analysis}},
  author = {Jacobs, Rowena and Smith, Peter and Street, Andrew},
  booktitle = {Cambridge University Press eBooks},
  pages = {91--128},
  year = {2006},
  doi = {10.1017/cbo9780511617492.006}
}

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