simnhlogit: Simulate from Non-homothetic Logit Model

In bayesm: Bayesian Inference for Marketing/Micro-Econometrics

Simulate from Non-homothetic Logit Model

Description

simnhlogit simulates from the non-homothetic logit model.

Usage

simnhlogit(theta, lnprices, Xexpend)

Arguments

theta	coefficient vector
lnprices	n x p array of prices
Xexpend	n x k array of values of expenditure variables

Details

For details on parameterization, see llnhlogit.

Value

A list containing:

y	n x 1 vector of multinomial outcomes (1,\ldots,p)
Xexpend	expenditure variables
lnprices	price array
theta	coefficients
prob	n x p array of choice probabilities

Warning

This routine is a utility routine that does not check the input arguments for proper dimensions and type.

Author(s)

Peter Rossi, Anderson School, UCLA, [e-mail].

References

For further discussion, see Chapter 4, Bayesian Statistics and Marketing by Rossi, Allenby, and McCulloch.

See Also

llnhlogit

Examples

N = 1000
p = 3
k = 1

theta = c(rep(1,p), seq(from=-1,to=1,length=p), rep(2,k), 0.5)
lnprices = matrix(runif(N*p), ncol=p)
Xexpend  = matrix(runif(N*k), ncol=k)

simdata = simnhlogit(theta, lnprices, Xexpend)

bayesm documentation built on Sept. 24, 2023, 1:07 a.m.