wtp.gmnl: Compute Willingness-to-pay

In gmnl: Multinomial Logit Models with Random Parameters

Description

Compute the willingness-to-pay.

Usage

wtp.gmnl(object, wrt = NULL, digits = max(3, getOption("digits") - 2))

Arguments

object	an object of class gmnl.
wrt	a string indicating the variable with respect to which the WTP is computed,
digits	number of significant digits to be used for most numbers.

Details

For each coefficient, this function computes both the point estimate and standard error of WTP with respect to the variable specified in the argument wrt. Specifically, let β_k be the coefficient for variable k, then

WTP_{k}=-β_k/β_p

where β_p is the coefficient for the variable specified with the argument wrt. Note that, wtp.gmnl does not include the negative sign.

wtp.gmnl function is a wrapper for the deltamethod function of the msm package.

Value

A coefficient matrix with the WTP point estimates and standard errors.

Author(s)

Mauricio Sarrias.

References

• Greene, W. H. (2012). Econometric Analysis, Seventh Edition. Pearson Hall.

• Train, K. (2009). Discrete Choice Methods with Simulation. Cambridge University Press.

See Also

deltamethod for the estimation of the standard errors.

Examples

## Examples using the Electricity data set from the mlogit package
library(mlogit)
data("Electricity", package = "mlogit")
Electr <- mlogit.data(Electricity, id.var = "id", choice = "choice",
                     varying = 3:26, shape = "wide", sep = "")
                     
## Estimate a conditional logit model
clogit <- gmnl(choice ~ pf + cl + loc + wk + tod + seas| 0,
               data = Electr)
wtp.gmnl(clogit, wrt = "pf")

gmnl documentation built on July 1, 2020, 6:01 p.m.