The objective of this article is 2-fold. First, it provides an empirical assessment of the cost and profit stochastic frontiers based on a panel dataset of Greek commercial banks over the period 1993 to 2005. Second, on the basis of the same sample, it also compares the most widely used...

This Chapter presents an application of quantile regression analysis in estimating the cost efficiency of 1,520 commercial banks operating in 73 countries during 2000-2006. This approach allows us to estimate banks' cost function for various quantiles of the conditional distribution and to...

Using Bayesian Monte Carlo methods, we augment a stochastic distance function measure of bank efficiency and productivity growth with indicators of capitalization, return and risk. Our novel Multiple Indicator-Multiple Cause (MIMIC) style model generates more precise estimates of policy relevant...