A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
On the estimation of the multinomial probit model
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
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
Sheffi, Yosef (author) / Hall, Randy (author) / Daganzo, Carlos (author)
Transportation Research Part A: General ; 16 ; 447-456
1982-01-01
10 pages
Article (Journal)
Electronic Resource
English
Calibration performance for the multinomial probit model
| British Library Conference Proceedings | 1999
On the applicability of the multinomial probit model
| British Library Conference Proceedings | 1997
Bayesian estimation of multinomial probit models of work trip choice
| Online Contents | 2003
Modelling with the space-time multinomial probit
| British Library Conference Proceedings | 1998
A multinomial probit analysis of shanghai commute mode choice
| Online Contents | 2022