A dynamic stochastic frontier approach with persistent and transient inefficiency and unobserved heterogeneity

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.

Automated summary

This article introduces a new dynamic stochastic frontier analysis framework with unobserved heterogeneity, persistent, and transient inefficiency effects, and applies it to a sample of French crop-livestock farms. The estimates provide insights into the estimation of technical efficiency scores and the analysis of the associations of contextual drivers such as public subsidies and indebtedness with technical efficiency.