A simulated likelihood estimator for qualitative response models with sufficient statistics

This article proposes simulated likelihood approaches which take into account the presence of sufficient statistics in a qualitative response model. The proposed simulated likelihood estimators can be computationally less expensive and statistically efficient relative to existing ones. Besides theoretical analysis, Monte Carlo results provide some evidence