View source: R/Rchoice.methods.R
effect.Rchoice | R Documentation |
This a helper function to obtain the individuals' conditional estimate of the random parameters or compensating variations.
## S3 method for class 'Rchoice'
effect(object, par = NULL, effect = c("cv", "ce"), wrt = NULL, ...)
object |
an object of class |
par |
a string giving the name of the variable with random parameter, |
effect |
a string indicating what should be computed: the conditional expectation of the individual coefficients " |
wrt |
a string indicating respect to which variable the compensating variation should be computed, |
... |
further arguments. Ignored. |
A named list where “mean” contains the individuals' conditional mean for the random parameter or compensating variation, and where ‘sd.est’ contains their standard errors.
Greene, W. H. (2012). Econometric Analysis, Seventh Edition. Pearson Hall.
Train, K. (2009). Discrete Choice Methods with Simulation. Cambridge university press.
Rchoice
for the estimation of different discrete choice models with individual parameters.
# Poisson with random parameters
data("Articles")
poisson.ran <- Rchoice(art ~ fem + mar + kid5 + phd + ment,
data = Articles, family = poisson,
ranp = c(kid5 = "n", phd = "n", ment = "n"),
R = 10)
## Get the individuals' conditional mean and their standard errors for ment
bi.ment <- effect(poisson.ran, par = "ment", effect = "ce")
summary(bi.ment$mean)
summary(bi.ment$sd.est)
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