A stochastic frontier regression model with dynamic frontier
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Publication:5086295
DOI10.1080/03610918.2015.1011333OpenAlexW2495547450MaRDI QIDQ5086295
T. V. Ramanathan, Bovas Abraham, Neelabh Rohan
Publication date: 5 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2015.1011333
technical efficiencystochastic frontier modelsGumbel bivariate exponential distributionexponential autoregression
Cites Work
- A gamma-distributed stochastic frontier model
- Some recent developments in efficiency measurement in stochastic frontier models
- Likelihood functions for generalized stochastic frontier estimation
- Maximum likelihood estimation of econometric frontier functions
- Formulation and estimation of stochastic frontier production function models
- Bivariate Exponential Distributions
- Stochastic frontier models with dependent error components
- First-order autoregressive gamma sequences and point processes
- Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
- Stochastic Frontier Analysis
- Estimation of long-run inefficiency levels: a dynamic frontier approach
- Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.
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