PrepareSimulationData: PrepareSimulationData

In rmdcev: Kuhn-Tucker and Multiple Discrete-Continuous Extreme Value Models

PrepareSimulationData

Description

Prepare Data for WTP simulation

Usage

PrepareSimulationData(object, policies, nsims = 30, class = "class1")

Arguments

object	an object of class 'mdcev'
policies	list containing price_p with additive price increases, and dat_psi_p with new psi data
nsims	Number of simulation draws to use for parameter uncertainty
class	The class number for Latent Class models.

Value

A list with individual-specific data (df_indiv) and common data (df_common) and n_classes for number of classes and model_num for model type

Examples

data(data_rec, package = "rmdcev")

data_rec <- mdcev.data(data_rec, subset = id <= 500, id.var = "id",
                alt.var = "alt", choice = "quant")

mdcev_est <- mdcev( ~ 0, data = data_rec,
               model = "hybrid0", algorithm = "MLE",
               std_errors = "mvn")

policies <- CreateBlankPolicies(npols = 2, mdcev_est,
             price_change_only = TRUE)

df_sim <- PrepareSimulationData(mdcev_est, policies)

rmdcev documentation built on March 31, 2023, 6:49 p.m.