BenchmarkingEconomicEfficiency
A Julia package for economic efficiency measurement using Data Envelopment Analysis (DEA)
https://github.com/javierbarbero/benchmarkingeconomicefficiency.jl
Science Score: 57.0%
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Low similarity (10.5%) to scientific vocabulary
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
Metadata Files
README.md
BenchmarkingEconomicEfficiency.jl
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.
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
- Website: http://www.javierbarbero.net
- Repositories: 5
- Profile: https://github.com/javierbarbero
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 | 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
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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)
- Documentation: https://docs.juliahub.com/General/BenchmarkingEconomicEfficiency/stable/
- License: MIT
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Latest release: 1.1.1
published almost 2 years ago