Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs
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Publication:6190749
DOI10.1080/07350015.2022.2110882MaRDI QIDQ6190749
Publication date: 6 March 2024
Published in: Journal of Business & Economic Statistics (Search for Journal in Brave)
Full work available at URL: https://figshare.com/articles/journal_contribution/Nonparametric_Stochastic_Frontier_Models_with_Multiple_Inputs_and_Outputs/20449079
Cites Work
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- ASYMPTOTICS AND CONSISTENT BOOTSTRAPS FOR DEA ESTIMATORS IN NONPARAMETRIC FRONTIER MODELS
- Nonparametric stochastic frontiers: a local maximum likelihood approach
- A Monte Carlo study of estimators of stochastic frontier production functions
- Formulation and estimation of stochastic frontier production function models
- Profit, directional distance functions, and Nerlovian efficiency
- Dimension reduction in nonparametric models of production
- Frontier estimation in the presence of measurement error with unknown variance
- Benefit and distance functions
- Estimation of the Boundary of a Variable Observed With Symmetric Error
- Inferences from Cross-Sectional, Stochastic Frontier Models
- Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
- Estimating a Changepoint, Boundary, or Frontier in the Presence of Observation Error
- Measurement of Productivity and Efficiency
- Estimating the Efficiency of Production
- The “wrong skewness” problem in stochastic frontier models: A new approach
- Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis
- Applied Nonparametric Econometrics
- Estimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives
- Statistical Approaches for Non‐parametric Frontier Models: A Guided Tour
