A nonparametric analysis of productivity: the case of US agriculture
提出一种在利润最大化假设下分析技术变革的非参数方法，允许希克斯中性及偏向性技术变革，并以美国农业为例展示其应用，得到比常用方法限制更少的生产率估计。
A nonparametric analysis of technical change under profit maximisation and a ‘generalised augmentation' hypothesis is proposed. It allows for Hicks neutral as well as biased technical change. An empirical application to US agriculture is presented in the context of input-output translating (additive augmentation). The analysis generates nonparametric estimates of productivity that are obtained under less restrictive assumptions than other commonly used productivity measures. The empirical results illustrate the usefulness of the approach.