This article presents a meta-regression analysis of 32 studies on frontier efficiency measurement in banking, focusing on the sensitivity of the reported estimates to the methodological design. Our findings suggest that study design is crucial for the resulting scores.
The differences between the scores estimated using parametric and non-parametric approaches arise when the Fourier-flexible functional is used since this functional form yields lower scores. Generally, the higher number of observations, the higher the average estimated efficiency is.
Removal of scale effects using equity capital increases the profit efficiency but it is insignificant for other scores. The US efficiency analysis should distinguish the commercial banking from other bank types because the former tend to deliver lower efficiency scores.