Robust nonparametric analysis of dynamic profits, prices and productivity: An application to French meat-processing firms
提出一个稳健非参数框架，将动态利润变化分解为价格和数量指标，并应用于2012-2019年法国肉类加工企业数据，发现生产率增长成分波动大但统计上常不显著。
Abstract Appropriately considering adjustment costs, this paper develops a robust nonparametric framework to analyse profits, prices and productivity in a dynamic context. Dynamic profit change is decomposed into a dynamic Bennet price indicator and a dynamic Bennet quantity indicator. The latter is decomposed into explanatory factors. It is shown to be a superlative indicator for the dynamic Luenberger indicator. The application focuses on 1,638 observations of French meat-processing firms for the years 2012–2019. Using m-out-of-n bootstrapped data envelopment analysis, we obtain robust estimates and confidence intervals. The components of dynamic productivity growth fluctuate substantially. However, these fluctuations are often statistically insignificant.