Robust nonparametric frontier estimation in two steps

DOI10.1080/07474938.2023.2219183MaRDI QIDQ6049845

Yining Chen, Unnamed Author, Flávio Augusto Ziegelmann

Publication date: 18 September 2023

Published in: Econometric Reviews (Search for Journal in Brave)

Full work available at URL: https://figshare.com/articles/journal_contribution/Robust_nonparametric_frontier_estimation_in_two_steps/23619009

zbMATH Keywords

monotonicityconcavityoutlier detectionlocal polynomial smoothingshape-constrained regression

Mathematics Subject Classification ID

Applications of statistics to economics (62P20)

Cites Work

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• Measuring the efficiency of decision making units
• Nonparametric frontier estimation via local linear regression
• Benchmarking with DEA, SFA, and R.
• Nonparametric least squares estimation of a multivariate convex regression function
• The dimensionality reduction principle for generalized additive models
• Estimating a smooth monotone regression function
• Formulation and estimation of stochastic frontier production function models
• Multivariate regression estimation: Local polynomial fitting for time series
• On univariate convex regression
• A canonical process for estimation of convex functions: the ``invelope of integrated Brownian motion \(+t^ 4\).
• Estimation of a convex function: Characterizations and asymptotic theory.
• A nonparametric framework to detect outliers in estimating production frontiers
• Nonparametric estimation of an additive model with a link function
• Outlier detection in two-stage semiparametric DEA models
• Consistency of Multidimensional Convex Regression
• An Effective Bandwidth Selector for Local Least Squares Regression
• Design-adaptive Nonparametric Regression
• Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
• Efficient estimation of conditional variance functions in stochastic regression
• NONPARAMETRIC ESTIMATION OF VOLATILITY FUNCTIONS: THE LOCAL EXPONENTIAL ESTIMATOR
• Estimation of additive frontier functions with shape constraints
• Efficiency Analysis: A Primer on Recent Advances
• WHEN BIAS KILLS THE VARIANCE: CENTRAL LIMIT THEOREMS FOR DEA AND FDH EFFICIENCY SCORES
• Additive isotone regression
• Generalized Additive and Index Models with Shape Constraints
• Quantile Methods for Stochastic Frontier Analysis