BenchmarkingEconomicEfficiency
A Julia package for economic efficiency measurement using Data Envelopment Analysis (DEA).
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BenchmarkingEconomicEfficiency.jl is a Julia package that provides functions for economic efficiency measurement 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")Available models
Cost DEA models
- Cost Directional Distance Function model.
- Cost Additive model.
- Cost Russell model.
- Cost Hölder model.
- Cost Reverse Directional Distance Function model.
- Cost General Direct Approach model.
Revenue DEA models
- Revenue Directional Distance Function model.
- Revenue Additive model.
- Revenue Russell model.
- Revenue Hölder model.
- Revenue Reverse Directional Distance Function model.
- Revenue General Direct Approach model.
Profit DEA models
- Profit Additive model.
- Profit Russell model.
- Profit Enhanced Russell Graph Slack Based Measure
- Profit Modified Directional Distance Function model.
- Profit Hölder model.
- Profit Reverse Directional Distance Function model.
- Profit General Direct Approach model.
Authors
BenchmarkingEconomicEfficiency.jl is being developed by Javier Barbero and José Luís Zofío.