Evaluating Returns to Scale and Convexity in DEA Via Bootstrap: A Case Study with Brazilian Port Terminals

DOI10.1007/978-1-4899-7705-2_8zbMath1364.90207OpenAlexW2489788567MaRDI QIDQ5268859

Peter F. Wanke, Carlos Pestana Barros

Publication date: 21 June 2017

Published in: International Series in Operations Research & Management Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4899-7705-2_8

zbMATH Keywords

convexitydata envelopment analysisbootstrappingreturns-to-scaleBrazilports

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Bootstrap, jackknife and other resampling methods (62F40) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Case-oriented studies in operations research (90B90)

Uses Software

• sfa
• Excel
• FEAR
• DEAFrontier
• DEAP
• Benchmarking

Cites Work

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• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• Recent developments in DEA. The mathematical programming approach to frontier analysis
• Stepwise selection of variables in data envelopment analysis: procedures and managerial perspectives
• Returns to scale in multiplicative models in data envelopment analysis
• A statistical test for detecting influential observations in DEA
• A new procedure for identifying the frame of the convex hull of a finite collection of points in multidimensional space
• Quantitative models for performance evaluation and benchmarking. Data development analysis with spreadsheets and DEA Excel solver. With CD-ROM
• Estimating returns to scale using non-parametric deterministic technologies: A new method based on goodness-of-fit
• A comparison of parametric and non-parametric distance functions: With application to European railways
• Handbook on data envelopment analysis
• Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models
• A general methodology for bootstrapping in non-parametric frontier models

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