int.dea: Linear Programming for the Data Envelopment Analysis with...

In nonparaeff: Nonparametric Methods for Measuring Efficiency and Productivity

Linear Programming for the Data Envelopment Analysis with Integer-valued Inputs.

Description

Solve input-oriented DEA under the CRS

Usage

int.dea(base = NULL, frontier = NULL, noutput = 1, intinput = 1,
orientation=1, epsilon = 1e-06)

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).
intinput	The number of integer inputs.
orientation	Orientation of measurement. 1 for the input-oriented measure, and 2 for the output-oriented measure. This argument is ignored.
epsilon	Non-Armechidean number. Use the default value.

Details

The input-oriented IDEA under the CRS assumption is calcualted. See Kuosmanen and Matin (2009).

Value

A data frame of J1*(1+J1+N+M+Q+Q), which shows efficiency scores, optimal weightes, optimal slacks for outputs and inputs, optiaml slacks for integer-valued inputs, and optimal integer inputs.

Author(s)

Dong-hyun Oh, [e-mail]

References

Kuomanen, T. and Matin, R. (2009). Theory of integer-valued data envelopment analysis. European Journal of Operational Research 192(2):658-667

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

See Also

dea

Examples

int.dat <- data.frame(y = c(1, 1, 1, 1, 1),
                      x1 = c(2, 7, 3, 7, 9),
                      x2 = c(4, 1, 4, 2, 4))
int.dea(int.dat, noutput = 1, intinput = 1)

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