The Implications of Using Messy Data to Estimate Production-Frontier-Based Technical Efficiency Measures
使用工厂层面的生产和财务数据，通过前沿函数模型研究效率，发现不同方法标记的效率观测不一致，并利用异常值诊断来识别有影响力的观测，澄清模型间的排名差异。
An empirical study of efficiency at the plant level, requiring production and financial data, was done using frontier function specifications. It is not evident from the implementation of the production-frontier models that different methodologies will consistently flag the same observations as being efficient or inefficient. As a result, outlier diagnostics for individual observations and for subsets of observations are used to achieve a relative index of influentiality within the spectrum of efficiency. These outlier diagnostic tests consistently flag the same subset of efficient and inefficient observations as the frontier models and additionally clarify ranking discrepancies among the frontier model specifications.