Overview
Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data. Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the measurement of productive efficiency and productivity growth, such as its application to the modelling of time substitution, i.e. the problem of how to allocate resources over time, and estimating the "value" of a Decision Making Unit (DMU).
- | Author: Rolf Färe, Shawna Grosskopf, Dimitris Margaritis
- | Publisher: World Scientific Publishing Company Incorporated
- | Publication Date: Apr 14, 2015
- | Number of Pages: 99 pages
- | Language: English
- | Binding: Hardcover
- | ISBN-10: 9814644544
- | ISBN-13: 9789814644549
