DEAS v2.0 - SourceForge Release Notes
=====================================
Recommended first download:
deas_v2_0_stata_package.zip
DEAS v2.0 is a major update to the Stata Data Envelopment Analysis package.
It is organized around one unified Stata command:
dea ..., model(...)
The command keeps the original DEA-style syntax:
dea inputs = outputs, options
and also supports an extended Stata-style syntax:
dea outputs, inputs(inputs) options
Both forms produce the same results.
Files in this folder
--------------------
1. deas_v2_0_stata_package.zip
Recommended for most users. Contains the Stata ado-files, help files,
quick-start guide, software license notice, article reuse notice, one
teaching dataset, and the main article example do-file.
2. deas_v2_0_article_supplement.zip
Contains author-prepared forthcoming/accepted-manuscript article materials,
the online supplement, figures, LaTeX source, and article reuse notices.
These article files are not covered by the software license.
3. deas_v2_0_replication_examples.zip
Contains article examples, OECD education applications, validation scripts,
logs, datasets, and figure-generating do-files.
4. deas_v2_0_full_archive.zip
Contains the complete accepted-file archive plus SourceForge posting,
release preparation, copyright/reuse, and smoke-test documents.
Quick start
-----------
After downloading and unzipping deas_v2_0_stata_package.zip, open Stata in the
unzipped folder and run:
adopath ++ "`c(pwd)'"
which dea
help dea
Then run:
use dea_6dmu.dta, clear
dea i_employee i_area = o_sales o_profits, rts(crs) gen(eff_crs)
dea i_employee i_area = o_sales o_profits, rts(vrs) gen(eff_vrs) reference
dea i_employee i_area = o_sales o_profits, model(sbm) rts(vrs) gen(eff_sbm)
Main features
-------------
- Unified dea command with model() option for sixteen DEA model families.
- Backward compatible inputs = outputs syntax.
- Extended Stata-style syntax using inputs().
- Fast Mata two-phase revised simplex engine.
- Optional Stata 16+ LinearProgram() IPM engine.
- engine(auto) fallback from simplex to IPM for numerical robustness.
- Standardized r() results across models.
- Extension commands for Malmquist, window, network, cross-efficiency,
bootstrap, fuzzy DEA, and game-theoretic DEA diagnostics.
- Example, validation, and replication do-files included.
- Author-prepared forthcoming Stata Journal article materials and online
supplement included.
Copyright and reuse
-------------------
The Stata software files are distributed under AFL-3.0; see LICENSE_CODE.txt
inside the archives.
Article manuscript files, if included, are not covered by the software license.
They are author-prepared forthcoming/accepted-manuscript materials and are
covered by ARTICLE_REUSE_NOTICE.md and ARTICLE_FILE_STATUS.md.
The final published Stata Journal PDF should not be redistributed through
SourceForge or GitHub unless publisher permission or policy explicitly allows it.
Suggested citation
------------------
Lee, C. Forthcoming. dea: An update and extension to Data Envelopment Analysis.
Stata Journal.