Simulated maximum likelihood estimation for discrete choices using transformed simulated frequencies
利用变换模拟频率估计离散选择模型的模拟最大似然
Many existing methods of simulated likelihood for discrete choice models require additive errors that have normal or extreme value distributions. This paper focuses on a situation where the model does not admit such additive errors so that the popular method of GHK or logit estimation is not applicable. This paper proposes a new method of simulated likelihood that is free from simulation bias for each finite number of simulations, and yet flexible enough to accommodate…