Abstract Multinomial Probit provides, perhaps, the most satisfactory form of discrete choice model based on the framework of utility maximization. It has clear advantages over more commonly used alternatives, such as the multinomial logit model, although its use involves more computational effort. This paper discusses the problems both of calculating the multinomial probit choice functions and in estimating the model parameters. Four techniques for calculating the choice functions are reviewed with regard to their comparative accuracy, computational requirements and applicability. With regard to model estimation different calibration methods are reviewed and a simulation based algoirthm is presented and tested.
On the estimation of the multinomial probit model
Transportation Research Part A: General ; 16 , 5-6 ; 447-456
1982-01-01
10 pages
Article (Journal)
Electronic Resource
English
Reconsidering the multinomial probit model
Elsevier | 1991
|Estimability in the multinomial probit model
Elsevier | 1990
|Calibration performance for the multinomial probit model
British Library Conference Proceedings | 1999
|Parameter estimability in the multinomial probit model
Elsevier | 1984
|Global maximum likelihood estimation procedure for multinomial probit (MNP) model parameters
Online Contents | 2000
|