orderm: Efficiency Measures with the order-m Method.

In nonparaeff: Nonparametric Methods for Measuring Efficiency and Productivity

Efficiency Measures with the order-m Method.

Description

Calculate order-m efficiency scores

Usage

orderm(base = NULL, frontier = NULL, noutput = 1, orientation=1, M = 25, B = 500)

Arguments

base	A data set for DMUs to be evaluated. A data frame with J1*(M+N) dimention, where J1 is the number of DMUs, M for the number of inputs, and N for the number of outputs.
frontier	A data set for DMUs to be used in constructing a production possibility set (PPS). A data frame with J2*(M+N) dimention, where J2 is the number of DMUs, M for the number of inputs, and N for the number of outputs.
noutput	The number of outputs (N).
orientation	Orientation of measurement. 1 for the input-oriented measure, and 2 for the output-oriented measure.
M	The number of elements in each of the bootstrapped samples.
B	The number of bootstap replicates

Details

See Simar (2003).

Value

A data frame with J1*1 dimention, which shows efficiency scores.

Author(s)

Dong-hyun Oh, [e-mail]

References

Lee, J. and Oh, D. (forthcoming). Efficiency Analysis: Data Envelopment Analysis. Press (in Korean).

Simar, L. (2003). Detecting outliers in frontier models: A simple approach. Journal of Productivity Analysis, 20(3):391-424.

See Also

fdh

Examples

x <- abs(runif(200, min = 0.1, max = 4)) 
y <- 3*x*abs(rnorm(200))
dat.orderm <- data.frame(y = y, x = x)  
dat.orderm.out <- rbind(dat.orderm, c(4, 0.1)) ## add one outlier.
(eff <- orderm(dat.orderm.out, noutput = 1, M = 25, B = 20))

nonparaeff documentation built on June 21, 2022, 9:05 a.m.