英文文献：Bootstrapping Kernel-Based Semiparametric Estimators-基于自举核的半参数估计
英文文献作者：Matias D. Cattaneo,Michael Jansson
英文文献摘要：
This paper develops alternative asymptotic results for a large class of two-step semiparametric estimators. The first main result is an asymptotic distribution result for such estimators and differs from those obtained in earlier work on classes of semiparametric two-step estimators by accommodating a non-negligible bias. A noteworthy feature of the assumptions under which the result is obtained is that reliance on a commonly employed stochastic equicontinuity condition is avoided. The second main result shows that the bootstrap provides an automatic method of correcting for the bias even when it is non-negligible.

本文给出了一类二步半参数估计的可选渐近结果。第一个主要结果是这类估计量的渐近分布结果，它不同于先前关于一类半参数两步估计量的研究中通过考虑不可忽略的偏差而得到的结果。得到结果的假设的一个值得注意的特征是避免了对常用的随机等视度条件的依赖。第二个主要结果表明，bootstrap提供了一种自动校正偏差的方法，即使它是不可忽略的。