Trying to learn to use the DEA package in R version 2.7.1 running under
Gentoo Linux, I have applied dea.ccr.io.mul() and dea.ccr.oo.mul() to
very simple artificial data. dea.ccr.io.mul() has produced exactly the
results I expected. In contrast, dea.ccr.oo.mul() produces results that
surprise me.
My code for second case is as follows:
# This is a file of R commands to illustrate output-oriented
# data envelopment analysis.
# Step 1: Enter input and output data
X <- rbind(1,
1,
1)
Y <- rbind(c(1, 3),
c(3, 1),
c(1, 1))
# Step 2: load the DEA package and use it to analyze the data
library(DEA)
results <- dea.ccr.oo.mul(X, Y, infor=TRUE)
My expectation was that the results would indicate that DMU1 and DMU2
have efficiency 1 and DMU3 has efficiency 0.5. Instead the results are
as follows:
$eff
DMU1 DMU2 DMU3
1 1 2
$weights
v.x1 u.y1 u.y2
DMU1 1 0.0000000 0.3333333
DMU2 1 0.3333333 0.0000000
DMU3 2 0.5000000 0.5000000
It appears to me that the reported "eff" for DMU3 is the reciprocal of
efficiency. Is this a bug or am I misunderstanding something?
Best regards,
John
--
John P. Burkett
Department of Environmental and Natural Resource Economics
and Department of Economics
University of Rhode Island
Kingston, RI 02881-0808
USA
phone (401) 874-9195
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