# 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:

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.