BenchmarkingEconomicEfficiency

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

https://github.com/javierbarbero/benchmarkingeconomicefficiency.jl

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

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

Basic Info
  • Host: GitHub
  • Owner: javierbarbero
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Size: 1.96 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 7
Created about 5 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

BenchmarkingEconomicEfficiency.jl

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.

For the methodological understanding and empirical interpretation of the different models we refer the reader to the accompanying book: Pastor, Jesús T., Aparicio, Juan, & Zofío, José L. (2022), Benchmarking Economic Efficiency: Technical and Allocative Fundamentals, International Series in Operations Research & Management Science (ISOR, Vol. 346). Springer, Cham. https://doi.org/10.1007/978-3-030-84397-7.

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

Available models

Profit DEA models

  • Profit Russell model.
  • Profit Additive model.
  • Profit Enhanced Russell Graph (or Slack Based) model.
  • 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 Efficiency measurement.

Cost DEA models

  • 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 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.

Owner

  • Name: Javier Barbero
  • Login: javierbarbero
  • Kind: user
  • Location: Madrid, Spain

PhD in Economics

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Barbero"
  given-names: "Javier"
  orcid: "https://orcid.org/0000-0002-2155-3996"
- family-names: "Zofío"
  given-names: "José L."
  orcid: "https://orcid.org/0000-0003-1170-9501"
title: "BenchmarkingEconomicEfficiency.jl"
version: 1.0.0
doi: https://doi.org/10.1016/j.seps.2023.101656
date-released: 2021-05-08
url: "https://github.com/javierbarbero/BenchmarkingEconomicEfficiency.jl/"
preferred-citation:
  type: article
  authors:
  - family-names: "Barbero"
    given-names: "Javier"
    orcid: "https://orcid.org/0000-0002-2155-3996"
  - family-names: "Zofío"
    given-names: "José L."
    orcid: "https://orcid.org/0000-0003-1170-9501"
  doi: "10.1016/j.seps.2023.101656"
  journal: "Socio-Economic Planning Sciences"
  start:  # First page number
  end:  # Last page number
  title: "The measurement of profit, profitability, cost and revenue efficiency through data envelopment analysis: A comparison of models using BenchmarkingEconomicEfficiency.jl"
  issue: 
  volume: Forthcoming
  year: 2023

GitHub Events

Total
Last Year

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 56
  • Total Committers: 3
  • Avg Commits per committer: 18.667
  • Development Distribution Score (DDS): 0.054
Top Committers
Name Email Commits
Javier Barbero j****o@u****m 53
CompatHelper Julia c****y@j****g 2
joselzofio j****o@u****s 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 1
  • Total pull requests: 6
  • Average time to close issues: less than a minute
  • Average time to close pull requests: 1 day
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 7.0
  • Average comments per pull request: 0.5
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 5
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: about 7 hours
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 1
Top Authors
Issue Authors
  • JuliaTagBot (1)
Pull Request Authors
  • github-actions[bot] (6)
  • javierbarbero (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 7
juliahub.com: BenchmarkingEconomicEfficiency

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

  • Versions: 7
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 9.9%
Average: 36.8%
Dependent packages count: 38.9%
Forks count: 40.4%
Stargazers count: 58.1%
Last synced: 10 months ago