Data Envelopment Analysis (DEA) is a computationally convenient way to measure efficiency that does not require an explicit functional relationship between inputs and outputs. However, because the frontier is constructed using extreme observations, DEA can be sensitive to extreme points, especially when data may be contaminated by measurement error. In such settings, the technical efficiency sc…