作者：Newman, Jeffrey P.; Ferguson, Mark E.; Garrow, Laurie A.; Jacobs, Timothy L.
作者单位：University System of Georgia; Georgia Institute of Technology; University of South Carolina System; University of South Carolina Columbia
摘要：We develop a parameter estimation routine for multinomial logit discrete choice models in which one alternative is completely censored, i.e., when one alternative is never observed to have been chosen in the estimation data set. Our method is based on decomposing the log-likelihood function into marginal and conditional components. Our method is computationally efficient, provides consistent parameter estimates, and can easily incorporate price and other product attributes. Simulations based o...
