*Names in bold indicate Presenter
This paper follows a similar empirical strategy as McCrary and Royer (2011) but uses high quality restricted-access data obtained from the North Carolina Education Research Data Center. While the dataset used in McCrary and Royer (2011) only has information on individuals’ self-reported age and education at the time of birth, this dataset provides administrative data on their actual age at the time of birth, as well as their complete educational records up to age 21, including their scores on end-of-grades tests in the third and eighth grades. The difference in data quality makes a large difference to the analysis. Using this more detailed dataset, Cook and Kang (2013) show that while girls who are born right after the cutoff date (and start school one year later) complete fewer years of education, they also have much higher test scores. Hence, the impact of being born after the cutoff date on educational success is much less negative than implied in McCrary and Royer (2011), which may explain why these girls were not more likely to become teenage mothers. This essay formally tests this hypothesis by using an instrumental variable regression model to distinguish the impacts of years of education and test scores on teenage childbearing. My preliminary findings suggest that, contrary to McCrary and Royer (2011), years of education and test scores both have a negative impact on teenage childbearing. To my knowledge, this essay is the first study which takes into account performance on school tests while using school entry policies to examine the impact of female education on teenage childbearing, as well as the first study which distinguishes the impacts of years of education and test scores.