The implications of latent technology regimes for competition and efficiency in banking

Banks continue to differ in many ways, for instance with respect to business models, growth strategies, or financial health. Neglecting these differences confuses inefficiency with heterogeneity while sub-sample estimation prohibits efficiency comparisons across different samples. We use a latent class stochastic frontier model to estimate simultaneously multiple technology regimes and group membership probabilities. The latter are conditioned on six bank traits of German banks and we identify four signifficantly different technology regimes. Only small, retail focused banks exhibit cost inefficiencies, which are 5.4% on average and thus substantially lower compared to previous studies. We use technology regime specific cost parameters to measure competition with Lerner indices. Large, national universal banks and the smallest, most specialized banks exhibit the lowest level of competition. In turn, medium sized universal banks are both efficient and exhibit the lowest Lerner margins between 1994 and 2004.