Indirect Estimation of Semiparametric Binary Choice Models*
针对Klein和Spady(1993)提出的半参数估计量难以实施的问题，本文提出一种基于间接推断的简单估计方法，该估计量具有良好小样本性质且一致渐近正态。
Abstract One of the most cited studies within the field of binary choice models is that of Klein and Spady (1993) , in which the authors propose a semiparametric estimator for use when the distribution of the error term is unknown. However, although theoretically appealing, the estimator has been found to be difficult to implement, and therefore not very attractive from an applied point of view. The current study offers an indirect inference‐based solution to this problem. The new estimator is not only simple with good small‐sample properties, but also consistent and asymptotically normal.