BenchmarkingEconomicEfficiency.jl

BenchmarkingEconomicEfficiency.jl is a Julia package that provides functions for economic efficiency using Data Envelopment Analysis (DEA). The package is an extension of the DataEnvelopmentAnalysis.jl package.

The package is being developed for Julia 1.0 and above on Linux, macOS, and Windows.

The packes uses internally the JuMP modelling language for mathematicall optimization with solvers GLPK and Ipopt.

Installation

The package can be installed with the Julia package manager:

julia> using Pkg; Pkg.add("BenchmarkingEconomicEfficiency")

Tutorial

For a tutorial on how to use the package, check the documentation on the Cost Directional Distance Function model.

Available models

Profit DEA models:

• Profit Efficiency measurement
• Profit Russell model
• Profit Additive model
• Profit Enhanced Russell Graph Slack Based Measure
• Profit Directional Distance Function model
• Profit Hölder model
• Profit Modified Directional Distance Function model
• Profit Reverse Directional Distance Function model
• Profit General Direct Approach model

Profitability DEA models:

• Profitability model

Cost DEA models:

• Cost (In)Efficiency measurement
• Cost Radial model
• Cost Russell model
• Cost Additive model
• Cost Directional Distance Function model
• Cost Hölder model
• Cost Reverse Directional Distance Function model
• Cost General Direct Approach model

Revenue DEA models:

• Revenue (In)Efficiency measurement
• Revenue Radial model
• Revenue Russell model
• Revenue Additive model
• Revenue Directional Distance Function model
• Revenue Hölder model
• Revenue Reverse Directional Distance Function model
• Revenue General Direct Approach model

Authors

BenchmarkingEconomicEfficiency.jl is being developed by Javier Barbero and José Luís Zofío.