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- W2339691330 abstract "In an earlier study, Parajuli and Haynes (2012) used multiple-input/multiple-output Data Envelopment Analysis (DEA) models. They found that a number of states in the U.S. assumed an efficiency score of one for broadband adoption and use. While this is not unusual, the commonly used DEA methods — the Charnes, Coopers, and Rhodes model and the Banker, Charnes, and Cooper extension — do not rank relative efficient decision making units (DMUs) across the efficient frontier set. The super-efficiency estimation overcomes this inherent limitation of the common DEA methods and allows for ranking the efficient DMUs. This paper uses super-efficiency methods to rank states that were efficient in broadband adoption and use in the U.S. from 2005 through 2007." @default.
- W2339691330 created "2016-06-24" @default.
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- W2339691330 date "2012-01-01" @default.
- W2339691330 modified "2023-09-23" @default.
- W2339691330 title "Efficient and Super-Efficient Use of Broadband by U.S. States" @default.
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- W2339691330 doi "https://doi.org/10.2139/ssrn.2191681" @default.
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