Semiparametric stochastic frontier models: a generalized additive model approach
type: Item
instance of: scholarly article
title: Semiparametric stochastic frontier models: a generalized additive model approach
zbMATH Open document ID: 1395.62089
author: Giancarlo Ferrara
author: Francesco Vidoli
published in: European Journal of Operational Research
publication date: 2018-05-25T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62P20
zbMATH DE Number: 6873542
zbMATH Keywords: stochastic frontier
zbMATH Keywords: semiparametric
zbMATH Keywords: generalized additive model
zbMATH Keywords: splines
zbMATH Keywords: efficiency
describes a project that uses: SemiPar
describes a project that uses: gamair
describes a project that uses: GAMLSS
describes a project that uses: R
describes a project that uses: sfa
MaRDI profile type: Publication
full work available at URL: j.ejor.2016.09.008
OpenAlex ID: W2519291424
cites work: Formulation and estimation of stochastic frontier production function models
cites work: Q3700622
cites work: Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis
cites work: Quantile regression with monotonicity restrictions using P-splines and the L1-norm
cites work: A practical guide to splines
cites work: Measuring the efficiency of decision making units
cites work: Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
cites work: Congestion of Production Factors
cites work: Frontier estimation in nonparametric location-scale models
cites work: Q3998409
cites work: Efficiency of the Swedish pork industry: A farm level study using rotating panel data 1976-1988
cites work: Multiple Imputation of Predictor Variables Using Generalized Additive Models
cites work: Stochastic non-convex envelopment of data: applying isotonic regression to frontier estimation
cites work: Nonparametric stochastic frontiers: a local maximum likelihood approach
cites work: Stochastic Frontier Analysis
cites work: DEA with efficiency classification preserving conditional convexity
cites work: Representation theorem for convex nonparametric least squares
cites work: Data Envelopment Analysis as Nonparametric Least-Squares Regression
cites work: A more efficient algorithm for convex nonparametric least squares
cites work: Variable selection in semiparametric regression modeling
cites work: Q4869778
cites work: Q3998435
cites work: Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
cites work: Fitting generalized linear models with unspecified link function: a P-spline approach
cites work: Shape constrained additive models
cites work: The Oxford handbook of applied nonparametric and semiparametric econometrics and statistics
cites work: Generalized Additive Models for Location, Scale and Shape
cites work: Semiparametric Regression
cites work: NONPARAMETRIC ESTIMATION AND TESTING OF INTERACTION IN ADDITIVE MODELS
cites work: The dimensionality reduction principle for generalized additive models
cites work: Degree of scale economies and congestion: a unified DEA approach
cites work: Q3377936
cites work: On p-values for smooth components of an extended generalized additive model
DOI: 10.1016/J.EJOR.2016.09.008
description: scientific article; zbMATH DE number 6873542