The accounting and management literature reflects an increasing interest in relative performance evaluation (RPE) measures, often called ‘benchmarking’. In this paper we illustrate how stochastic frontier estimation (SFE) can be used to estimate benchmark performance standards which control for differences in the environments of the benchmarked operating units. Our application of SFE uses cross-sectional data reported by school districts in the state of Missouri for the year 1990–1991. The results suggest that the districts may have had as much as $394 million of excess expenditures in their operations.

This paper empirically examines hypothesis from the accounting, manufacturing, and strategy literatures about volume-based, complexity-based, and efficiency-based drivers of manufacturing overhead costs. Cross-sectional data from a questionnaire of thirty-seven facilities of an electronics company are examined. Subject to caveats regarding the cross-sectional tests, strongest empirical association is found for volume-related cost drivers. There is not consistently strong empirical association for complexity- or efficiency-related drivers. Explanations for the limited association for the complexity- and efficiency-related drivers include proxy problems with the complexity and efficiency concepts and problems in developing uniform measures of variables across a broad cross-section of facilities.