Learn R Programming

bayesm (version 3.1-6)

simnhlogit: Simulate from Non-homothetic Logit Model

Description

simnhlogit simulates from the non-homothetic logit model.

Usage

simnhlogit(theta, lnprices, Xexpend)

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

Arguments

theta

coefficient vector

lnprices

\(n x p\) array of prices

Xexpend

\(n x k\) array of values of expenditure variables

Warning

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

Author

Peter Rossi, Anderson School, UCLA, perossichi@gmail.com.

Details

For details on parameterization, see llnhlogit.

References

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

See Also

llnhlogit

Examples

Run this code
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)

Run the code above in your browser using DataLab