nonparaeff (version 0.5-13)

direc.dea: Linear Programming for the Directional Distance Function with Undesirable Outputs

Description

Solve the DDF with undesirable outputs. The directional vecor is (y's, b's).

Usage

direc.dea(base = NULL, frontier = NULL, ngood = 1, nbad = 1)

Arguments

base

A data set for DMUs to be evaluated. A data frame with J1*(M+P+Q) dimention, where J1 is the number of DMUs, M for the number of inputs, P for the number of good outputs, and Q for the undesirable outputs.

frontier

A data set for DMUs to be used in constructing a production possibility set (PPS). A data frame with J2*(M+P+Q) dimention, where J2 is the number of DMUs, M for the number of inputs, P for the number of good outputs, and Q for the undesirable outputs

ngood

The number of good outputs (P).

nbad

The number of bad outputs (Q).

Value

A J1 vector of which is inefficiency score.

Details

The DDF with undesirable outputs under the CRS assumption is calculated. For model specification, take a look at Chung et al. (1997).

References

Chung, Y. Fare, R. and Grosskopf, S. (1997). Productivity and undesirable outputs: A directional distance function approach. Journal of Environmental Management 51(3):229-240.

Cooper, W., Seiford, L. and Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software (2nd ed.). Springer Verlag, New York.

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

See Also

ddf

Examples

# NOT RUN {
## Simple Example of one input, one good output, and one bad output.
my.dat <- data.frame(yg = c(2, 5, 7, 8, 3, 4, 6),
                     yb = c(1, 2, 4, 7, 4, 5, 6),
                     x = c(1, 1, 1, 1, 1, 1, 1))
direc.dea(my.dat, ngood = 1, nbad = 1)
# }