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首页> 外文期刊>Journal of productivity analysis >BAM: a bounded adjusted measure of efficiency for use with bounded additive models
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BAM: a bounded adjusted measure of efficiency for use with bounded additive models

机译:BAM:与有界加性模型一起使用的有界调整效率度量

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摘要

A decade ago the Range Adjusted Measure (RAM) was introduced for use with Additive Models. The empirical experience gained since then recommends developing a new measure with similar characteristics but with more discriminatory power. This task is accomplished in this paper by introducing the Bounded Adjusted Measure (BAM) in connection with a new family of Data Envelopment Analysis (DEA) additive models that incorporate lower bounds for inputs and upper bounds for outputs while accepting any returns to scale imposed on the production technology.
机译:十年前,引入了范围调整量度(RAM)以用于加性模型。此后获得的经验经验建议开发一种具有类似特征但具有更大区分能力的新方法。通过结合新的数据包络分析(DEA)加性模型系列引入有界调整量度(BAM)来完成此任务,该模型合并了输入的下限和输出的上限,同时接受了按比例分配的任何规模收益生产技术。

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