A dynamic stochastic frontier approach with persistent and transient inefficiency and unobserved heterogeneity
提出一种新的动态随机前沿分析框架，能同时处理未观测异质性、持久和暂时无效率，并应用于法国农牧场数据，分析补贴和负债与技术效率的关系。
Abstract This article introduces a dynamic stochastic frontier analysis (SFA) framework with unobserved heterogeneity, persistent and transient inefficiency effects, based on recent advances in the SFA literature. The newly developed dynamic frontier model is applied on a sample of French crop‐livestock farms. The estimates provide useful insights for the estimation of the technical efficiency scores as well as for the analysis of the associations of contextual drivers, such as public subsidies and indebtedness, with technical efficiency.