Аннотация:A stochastic frontier model is considered – a linear regression model linking the firm activity measure (e.g., the production volume of an enterprise) and the resource inputs. This model is used to determine the efficiency of decision-making units (DMUs). A series of stochastic experiments is run to determine the model’s ability to rank the DMUs by efficiency – a Spearman rank correlation coefficient and the Harrell concordance index are calculated as a function of the variance of the two error components of the regression model: a normally distributed stochastic shock and an inefficiency index with halfnormal or exponential distribution.