New method improves accuracy of evaluating firms' efficiency in small samples.
The article discusses a method called Data Envelopment Analysis (DEA) used to evaluate how efficient companies are. When working with small amounts of data, DEA can give inaccurate results. To address this issue, a new method has been introduced that generates random data to improve the accuracy of efficiency scores. This new method is different from the traditional DEA Bootstrap method and Monte Carlo simulations.