A Monte Carlo study of estimators of stochastic frontier production functions
From MaRDI portal
Publication:1140962
DOI10.1016/0304-4076(80)90043-3zbMath0436.62099OpenAlexW2022801758MaRDI QIDQ1140962
Publication date: 1980
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0304-4076(80)90043-3
maximum likelihoodcorrected least squares estimatorstochastic frontier production functionstwo-step Newton-Raphson
Applications of statistics to economics (62P20) Monte Carlo methods (65C05) Production theory, theory of the firm (91B38) Probabilistic methods, stochastic differential equations (65C99)
Related Items
Technological inefficiency and the skewness of the error component in stochastic frontier analysis, A Laplace stochastic frontier model, The “wrong skewness” problem in stochastic frontier models: A new approach, Pitfalls in the estimation of a cost function that ignores allocative inefficiency: a Monte Carlo analysis, Bayesian estimation of the half-normal regression model with deterministic frontier, Endogeneity in stochastic frontier models, Dependence modeling in stochastic frontier analysis, Measuring profit efficiency with McFadden's gauge function, Statistical Approaches for Non‐parametric Frontier Models: A Guided Tour, A survey of frontier production functions and of their relationship to efficiency measurement, The ``wrong skewness problem: moment constrained maximum likelihood estimation of the stochastic frontier model, Comparative performance analysis of frontier-based efficiency measurement methods -- a Monte Carlo simulation, Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs, A simulation study of DEA and parametric frontier models in the presence of heteroscedasticity., Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis, A stationary point for the stochastic frontier likelihood, Estimating a stochastic production frontier when the adjusted error is symmetric, Quantile estimation of stochastic frontiers with the normal-exponential specification, Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes, Properties of technical efficiency estimators in the stochastic frontier model, DEA-based hypothesis tests for comparing two groups of decision making units, The case for the use of multiple imputation missing data methods in stochastic frontier analysis with illustration using English local highway data, NONPARAMETRIC FRONTIER ESTIMATION: A CONDITIONAL QUANTILE-BASED APPROACH, Type II failure and specification testing in the stochastic frontier model, Sensitivity analysis of stochastic frontier analysis models, A Monte Carlo comparison of two production frontier estimation methods: Corrected ordinary least squares and data envelopment analysis, Inferences from Cross-Sectional, Stochastic Frontier Models, Efficiency measurement in the stochastic frontier model, Small-sample properties of ML, COLS, and DEA estimators of frontier models in the presence of heteroscedasticity. (Comment by R.D.Banker, H.S.Chang, and W.W.Cooper), Quantile Methods for Stochastic Frontier Analysis
Cites Work
- Unnamed Item
- Unnamed Item
- Maximum likelihood estimation of econometric frontier functions
- Formulation and estimation of stochastic frontier production function models
- Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
- Estimating the Efficiency of Production
- A comparison of the correlational behavior of random number generators for the IBM 360
- Recent advances in unconstrained optimization