Shadowp {productivity} | R Documentation |
Shadow prices used in productivity and profitability computations
Description
From any object created by either fareprim
, fisher
,
hicksmoorsteen
, laspeyres
, lowe
, or paasche
function, and provided that the argument shadow
(or components
in the case of hicksmoorsteen
)
is set to TRUE
in the function's call, this function extracts the deflated cost input and revenue output
shadow prices.
Usage
Shadowp(object, ...)
Arguments
object |
Object of class |
... |
Currently not used. |
Details
Shadow prices are derived from dual input- and output-oriented DEA models.
In the case of Fisher, Hicks-Moorsteen, Laspeyres, Lowe and Paasche indices, deflated input and output shadow
prices for each observation are returned (if the argument shadow = TRUE
in the function's call).
In the case of Hicks-Moorsteen index, shadow prices used to compute Malmquist-hs and Malmquist-it
for each observation are returned (if the argument components = TRUE
in the function's call).
In the case of Färe-Primont index, the deflated input and output shadow prices of the representative observation
(i.e. the sample means of quantities and prices) are returned (if the argument shadow = TRUE
in the function's call).
An object of class
'FarePrimont'
is a result of a call tofareprim
.An object of class
'Fisher'
is a result of a call tofisher
.An object of class
'HicksMoorsteen'
is a result of a call tohicksmoorsteen
.An object of class
'Laspeyres'
is a result of a call tolaspeyres
.An object of class
'Lowe'
is a result of a call tolowe
.An object of class
'Paasche'
is a result of a call topaasche
.
Value
In the case of Färe-Primont, Fisher, Laspeyres, Lowe and Paasche indices, the function returns a data frame containing all the elements and observations included in the
"Shadowp"
component ofobject
.In the case of Hicks-Moorsteen index, the function returns a list of two data frames containing, for each observation, input and output deflated shadow prices related to Malmquist-hs and Malmquist-it indices (and therefore not Hicks-Moorsteen shadow prices per se).
*
MalmquistHS:A data frame containing, for each observation, input and output shadow prices of the Malmquist-hs index.
*
MalmquistIT:A data frame containing, for each observation, input and output shadow prices of the Malmquist-it index.
Warning
For extreme efficient observations, the problem of multiple solutions may arise and the values of shadow prices may differ depending on the linear programming solver used (here lpSolveAPI).
Author(s)
Yann Desjeux, K Hervé Dakpo, Laure Latruffe
See Also
- Changes
for productivity and profitability change indices; and
- Levels
for productivity and profitability levels.
Examples
## Not run:
FISHER <- fisher(data = usagri, id.var = "States", time.var = "Years", x.vars = c(7:10),
y.vars = c(4:6), w.vars = c(14:17), p.vars = c(11:13), orientation = "out", shadow = TRUE)
Fisher.shadowprices <- Shadowp(FISHER)
head(Fisher.shadowprices)
## End(Not run)