Advances In Data Envelopment Analysis - Fare, Rolf (Oregon State Univ, Usa) a Grosskopf, Shawna (Oregon State Univ, Usa) a Margaritis, Dimitris (The Univ Of Auckland, New Zealand)

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.