This paper develops a novel statistic for firm efficiency called efficiency depth that
allows for statistical inference in case of errors-in-variables. We derive statistical tests
that require minimal statistical assumptions; neither the sample distribution nor the
noise level is required. An empirical illustration for European banks illustrates that -
despite the minimal assumptions- the tests can have substantial discriminating power
in practical applications