English, Article edition: IMPACT ASSESSMENT OF INPUT OMISSION ON DEA JOHN RUGGIERO

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Physical Description
  • article
Language
  • English

Edition details

Title
  • IMPACT ASSESSMENT OF INPUT OMISSION ON DEA
Author
  • JOHN RUGGIERO
Physical Description
  • article
Notes
  • It is well known in the Data Envelopment Analysis literature that proper variable selection is necessary for the reliable measurement of efficiency. Omitting production relevant variables and/​or including irrelevant variables will lead to biased measurement. It is also known that the sample size needs to be large relative to the number of inputs and outputs to prevent classification of efficiency by default. In some empirical settings the number of potential relevant variables is large. Careful selection of an appropriate set of variables is necessary for reliable efficiency measurement. This paper looks at the issue of input selection and uses simulation analysis to develop statistical procedures to provide guidelines for input selection.
  • Data Envelopment Analysis, variable selection
  • RePEc:wsi:ijitdm:v:04:y:2005:i:03:p:359-368
Language
  • English
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