Measuring Technical Efficiency and Capacity with Data Envelopment Analysis: A foundational approach using the R programming language

Walden, John B.; Atwood, Joseph

doi:10.22004/ag.econ.298454

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Measuring Technical Efficiency and Capacity with Data Envelopment Analysis: A foundational approach using the R programming language

2019
By Walden, John B. ; Atwood, Joseph

[PDF-1.06 MB]

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Personal Author:

Walden, John B. ; Atwood, Joseph

Walden, John B. ; Atwood, Joseph Less -
Corporate Authors:

Montana State University (Bozeman, Mont.). Department of Agricultural Economics and Economics. ; Northeast Fisheries Science Center (U.S.)

Montana State University (Bozeman, Mont.). Department of Agricultural Economics and Economics. ; Northeast Fisheries Science Center (U.S.) Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center)

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center) Less -
Description:

Over the past several years, the software product R has become popular, and a built-in DEA and SFA package ‘Benchmarking’ has been developed that can easily be used to solve DEA models. This workbook is designed to demonstrate how to build R programs to solve DEA models for those who want to “build their own” rather than use the Benchmarking program. There are several advantages to this approach. First and foremost, it gives analysts the ability to customize their DEA models in whatever way they desire, and the ability to retrieve and display whatever results they wish by directly using the LP solvers in R. Secondly, if new L.P. solvers are incorporated into R, the programs could still be used with a few minor changes, potentially improving solve times for complex problems. Thirdly, the approach outlined in this workbook removes a layer for the modeler. Instead of using a package such as Benchmarking, or Fear (for bootstrapping models), the user directly solves the problems in an LP framework.
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Data Curation Programming Languages (Electronic Computers) Research
DOI:

https://doi.org/10.22004/ag.econ.298454
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PDF
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Non-series Report
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https://creativecommons.org/publicdomain/zero/1.0/
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CC0 Public Domain
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Submitted
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urn:sha256:4fb2a28a9bd9cfc0bf21753cea95f6fe5d0dff67978292bd38c4f51b0b1d1ec6
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https://repository.library.noaa.gov/view/noaa/49072/noaa_49072_DS1.pdf
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Measuring Technical Efficiency and Capacity with Data Envelopment Analysis: A foundational approach using the R programming language

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