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Benchmarking (version 0.10)

Benchmark and frontier analysis using DEA and SFA

Description

Estimates and graphs deterministic (DEA) frontier models with different technology assumptions (fdh, vrs, drs, crs, irs, add). Also handles possible slacks, peers and their weights (lambdas), optimal cost, revenue and profit allocation, super--efficiency, and mergers. A comparative method for estimating SFA efficiencies is included.

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Version

Install

install.packages('Benchmarking')

Monthly Downloads

3,234

Version

0.10

License

GPL (>= 2)

Maintainer

Lars Otto

Last Published

September 12th, 2010

Functions in Benchmarking (0.10)

dea.merge

Efficiency results after mergers and their decompositions
typeIerror

Probability of a type I error for a test in bootstraped DEA models
dea.plot

Plot of DEA technologies
sfa

Stochastic frontier estimation
dea

DEA efficiency
make.merge

Make an aggregation matrix to perform mergers of firms
outlier.ap

Detection of outliers in benchmark models
dea.dual

Calculates dual DEA models
critValue

Critical values from bootstraped DEA models
add.dea

Additive DEA model
cost.opt

DEA Optimal Cost
Benchmarking-package

Benchmarking: Benchmark and efficiency: deterministic (DEA) and stochastic frontiers (SFA) -- Estimation and plot of technologies