eff, efficiencies {Benchmarking} | R Documentation |
Calculate efficiencies for Farrell and sfa object
Description
Calculate efficiencies for Farrell and sfa object. For a sfa there are several types
Usage
eff( object, ... )
efficiencies( object, ... )
## Default S3 method:
efficiencies( object, ... )
## S3 method for class 'Farrell'
efficiencies(object, type = "Farrell", ...)
## S3 method for class 'Farrell'
eff(object, type = "Farrell", ...)
## S3 method for class 'sfa'
efficiencies(object, type = "BC", ...)
## S3 method for class 'sfa'
eff(object, type = "BC", ...)
Arguments
object |
A Farrell object returned from a DEA function like dea, sdea, or mea or an sfa object returned from the function sfa. |
type |
The type of efficiencies to be calculated. For a Farrell object the possibilities are “Farrell” efficiency or “Shephard” efficiency. For a sfa object the possibilities are “BC”, “Mode”, “J”, or “add”. |
... |
Further arguments ... |
Details
The possible types for class Farrell
(an object returned from
dea
et al. are “Farrell” and “Shephard”.
The possible types for class sfa
efficiencies are
- BC
Efficiencies estimated by minimizing the mean square error; Eq. (7.21) in Bogetoft and Otto (2011, 219) and Battese and Coelli (1988, 392)
- Mode
Efficiencies estimates using the conditional mode approach; Bogetoft and Otto (2011, 219), Jondrow et al. (1982, 235).
- J
Efficiencies estimates using the conditional mean approach Jondrow et al. (1982, 235).
- add
Efficiency in the additive model, Bogetoft and Otto (2011, 219)
Value
The efficiencies are returned as an array.
Note
For the Farrell object the orientation is determined by the calculations that led to the object and cannot be changed here.
Author(s)
Peter Bogetoft and Lars Otto larsot23@gmail.com
References
Bogetoft and Otto; Benchmarking with DEA, SFA, and R, Springer 2011
See Also
Examples
##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.