Parameter values and error terms for all twenty instances in each of the five datasets discussed in "Optimising Electric Vehicle Charging Station Placement using Advanced Discrete Choice Models". Inst
The multinomial probit model is often used to analyze choice behavior. However, estimation with existing Markov chain Monte Carlo (MCMC) methods is computationally costly, which limits its applicabili
We extend the semi-parametric estimation method for dynamic discrete choice models using Hotz and Miller's (1993) conditional choice probability (CCP) approach to the setting where individuals may hav
