One-stage and two-stage DEA estimation of the effects of contextual variables

DOI10.1016/j.ejor.2012.01.023zbMath1253.90172OpenAlexW2115061427MaRDI QIDQ1926772

Timo Kuosmanen, Andrew L. Johnson

Publication date: 29 December 2012

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2012.01.023

zbMATH Keywords

data envelopment analysispartial linear modelsemi-nonparametric regression

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items (8)

Management of agricultural research centers in Brazil: a DEA application using a dynamic GMM approach ⋮ Convex non-parametric least squares, causal structures and productivity ⋮ Wheat farming system performance and irrigation efficiency in Pakistan: a bootstrapped metafrontier approach ⋮ A New Mathematical Model for the Efficiency Calculation ⋮ When to increase firms' sustainable operations for efficiency? A data envelopment analysis in the retailing industry ⋮ Relating supply network structure to productive efficiency: a multi-stage empirical investigation ⋮ Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using data envelopment analysis: second stage OLS versus bootstrap approaches ⋮ Performance estimation when the distribution of inefficiency is unknown

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