This is the Windows app named Data Envelopment Analysis using Stata whose latest release can be downloaded as deas_v2_0_article_supplement.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Data Envelopment Analysis using Stata
DESCRIPTION:
DEAS provides Data Envelopment Analysis tools for Stata. Version 2.0 is a major update centered on a unified dea command for Stata 16 or later. It consolidates sixteen DEA model families into one interface, keeps backward compatibility with the original inputs = outputs syntax, and adds a fast Mata two-phase revised simplex engine alongside Stata's LinearProgram() IPM engine. The package supports radial technical efficiency (CCR/BCC), SBM, additive model, radial and SBM super-efficiency, multiplier form, directional distance function, cost, revenue, profit, allocative efficiency, FDH, imprecise DEA, undesirable outputs, SBM with undesirable outputs, and congestion analysis. Extension commands provide Malmquist productivity index, window analysis, network DEA, cross-efficiency, bootstrap DEA, fuzzy DEA, and research-oriented game-theoretic DEA diagnostics. The release includes Stata help files, an OECD education application, and forthcoming Stata article and supplement materials.
Features
- Unified DEA command for Stata
- CCR/BCC radial technical efficiency
- Slack-Based Model (SBM)
- Cost, revenue, profit, and allocative efficiency
- Free Disposal Hull(FDH)
- Imprecise DEA
- Undesirable outputs. (Radial and SBM Variants)
- Congestion analysis
- Malmquist productivity index
- Window analysis
- Network DEA
- Cross-efficiency
- Bootstrap DEA and Simar-Wilson routines
- Fast Mata simplex engine
- Stata LinearProgram() IPM engine
- the Stochastic Non-smooth Envelopment of Data (StoNED)
- the Convex Nonparametric Least Squares (CNLS)
- Replication do-files and sample datasets
- Super-efficiency Model(Radial and SBM)
- Directional Distance Function (DDF) Model
- Additive DEA Model
- Multiplier DEA Model
- Fuzzy DEA
- DEA-Game (small set of game-theoretic diagnostic commands)
Audience
Advanced End Users, Developers, Non-Profit Organizations, Science/Research
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/deas/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.