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.

中文翻译：

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具有持续和短暂的低效率和未观察到的异质性的动态随机前沿方法

本文基于 SFA 文献的最新进展，介绍了一种动态随机前沿分析 (SFA) 框架，该框架具有未观察到的异质性、持续和短暂的低效率效应。新开发的动态前沿模型应用于法国农牧农场的样本。这些估计为技术效率得分的估计以及背景驱动因素（如公共补贴和债务）与技术效率的关联分析提供了有用的见解。