Benchmarking with DEA, SFA, and R

By E. Thanassoulis. 2012

303 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5c128ba40e192c8b53e1f2572a93616e1446673a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Indra Widiarto
2. Sandra Benítez-Peña
3. Dolores Romero Morales
4. Peter Bogetoft
5. Ali Emrouznejad
6. Jan Dul
7. Emilio Carrizosa
8. Jeroen Derwall

Citations in the corpus

• Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach (2020, background): “Moreover, it is known to improve the discriminatory power of DEA models [3].”
• Necessary Condition Analysis (NCA) (2015, result): “Corrected ordinary least squares (COLS) and stochastic frontier analysis (SFA) (e.g., Aigner & Chu, 1968; Bogetoft & Otto, 2011) have some disadvantages compared to the techniques selected previously.”
• Social and financial efficiency of Islamic microfinance institutions:a Data Envelopment Analysis application (2015, background): “Using traditional financial ratios to measure MFI performance can also be ambiguous: an MFI can excel in one ratio but fail in others hence difficulty in overall performance benchmarking (Bogetoft & Otto, 2011).”