Agent-based transport simulations rely on realistic representation of agents’ movements in the system, but also simulation choice making processes that resemble reality well. The MATSim framework uses scoring-based co-evolutionary algorithm to achieve this, based principle utility maximization. Discrete models are another common tool planning which same principle. Through a toy example, paper a...

We consider the estimation of dynamic binary choice models in a semiparametric setting, which per-period utility functions are known up to finite number parameters, but distribution shocks is left unspecified. This setup differs from most existing identification and literature for discrete models. To show we derive exploit new recursive representation unknown quantile function shocks. Our estim...