The Effect of Age at School Entry on Educational Attainment: An Application of Instrumental Variables with Moments from Two Samples
入学年龄对教育程度的影响:结合两样本矩的工具变量应用AI 解读 ↓
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AI 根据所提供的论文材料归类:摘要明确以出生日期变化构成自然实验,并用两样本工具变量估计入学年龄的教育影响,直接属于因果推断。
入学年龄对教育程度的影响:结合两样本矩的工具变量应用AI 解读 ↓
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We present a model in which compulsory school attendance laws, which typically require school attendance until a specified birthday, induce a relationship between years of schooling and age at school entry. Variation in school starting age created by children's dates of birth provides a natural experiment for estimating the effect of age at school entry. Because no large data set contains information on both age at school entry and educational attainment, we use an instrumental variables (IV) estimator with data derived from the 1960 and 1980 Censuses to estimate and test the age-at-entry/compulsory schooling model. In most IV applications, the two covariance matrices that form the estimator are constructed from the same sample. We use a method-of-moments framework to discuss IV estimators that combine moments from different data sets. In our application, quarter of birth dummies are the instrumental variables used to link the 1960 Census, from which age at school entry can be derived for one cohort of students, to the 1980 Census, which contains educational attainment for the same cohort of students. The results suggest that compulsory attendance laws constrain roughly 10% of students to stay in school.