BenchmarkingEconomicEfficiency.jl

A Julia package for economic efficiency measurement using Data Envelopment Analysis (DEA)
Author javierbarbero
Popularity
0 Stars
Updated Last
5 Months Ago
Started In
March 2021

BenchmarkingEconomicEfficiency

A Julia package for economic efficiency measurement using Data Envelopment Analysis (DEA).

Documentation Build Status Coverage

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.

Used By Packages

No packages found.