论文标题
二进制响应模型具有许多薄弱的乐器
Binary response model with many weak instruments
论文作者
论文摘要
本文认为具有许多弱仪器的内源性二进制响应模型。我们采用控制功能方法和正则化方案，在存在许多弱仪器的情况下，为内源性二进制响应模型获得更好的估计结果。提供了两个一致且渐近的正态分布估计器，每个估计量都称为正则条件最大似然估计器（RCMLE）和正则化的非线性最小二乘估计器（RNLSE）。蒙特卡洛模拟表明，当有许多较弱的仪器时，提议的估计器的表现要优于现有的估计值。我们使用拟议的估计方法来检查家庭收入对大学完成的影响。
This paper considers an endogenous binary response model with many weak instruments. We employ a control function approach and a regularization scheme to obtain better estimation results for the endogenous binary response model in the presence of many weak instruments. Two consistent and asymptotically normally distributed estimators are provided, each of which is called a regularized conditional maximum likelihood estimator (RCMLE) and a regularized nonlinear least squares estimator (RNLSE). Monte Carlo simulations show that the proposed estimators outperform the existing ones when there are many weak instruments. We use the proposed estimation method to examine the effect of family income on college completion.
