Back to Search
Start Over
Robust Estimation in Stochastic Frontier Models
- Publication Year :
- 2015
-
Abstract
- This study proposes a robust estimator for stochastic frontier models by integrating the idea of Basu et al. [1998, Biometrika 85, 549-559] into such models. We verify that the suggested estimator is strongly consistent and asymptotic normal under regularity conditions and investigate robust properties. We use a simulation study to demonstrate that the estimator has strong robust properties with little loss in asymptotic efficiency relative to the maximum likelihood estimator. A real data analysis is performed for illustrating the use of the estimator.<br />Comment: 43 pages, 5 figures
- Subjects :
- Statistics - Methodology
Statistics - Other Statistics
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1507.07902
- Document Type :
- Working Paper