Estimation of a Factor-Augmented Linear Model with Applications Using Student Achievement Data
因子增强线性模型的估计及学生成绩数据应用
In many longitudinal settings, economic theory does not guide practitioners on the type of restrictions that must be imposed to solve the rotational indeterminacy of factor-augmented linear models. We study this problem and offer several novel results on identification using internally generated instruments. We propose a new class of estimators and establish large sample results using recent developments on clustered samples and high-dimensional models. We carry out…