Demography. 2013 Dec;50(6):2129-50. doi: 10.1007/s13524-013-0238-9.
A huge literature shows that teen mothers face a variety of detriments across the life course, including truncated educational attainment. To what extent is this association causal? The estimated effects of teen motherhood on schooling vary widely, ranging from no discernible difference to 2.6 fewer years among teen mothers. The magnitude of educational consequences is therefore uncertain, despite voluminous policy and prevention efforts that rest on the assumption of a negative and presumably causal effect. This study adjudicates between two potential sources of inconsistency in the literature—methodological differences or cohort differences—by using a single, high-quality data source: namely, The National Longitudinal Study of Adolescent Health. We replicate analyses across four different statistical strategies: ordinary least squares regression; propensity score matching; and parametric and semiparametric maximum likelihood estimation. Results demonstrate educational consequences of teen childbearing, with estimated effects between 0.7 and 1.9 fewer years of schooling among teen mothers. We select our preferred estimate (0.7), derived from semiparametric maximum likelihood estimation, on the basis of weighing the strengths and limitations of each approach. Based on the range of estimated effects observed in our study, we speculate that variable statistical methods are the likely source of inconsistency in the past. We conclude by discussing implications for future research and policy, and recommend that future studies employ a similar multimethod approach to evaluate findings.
大量文献表明,青少年母亲在整个生命过程中面临着各种不利因素,包括教育程度的缩短。这种关联在多大程度上是因果关系?青少年母亲对教育的估计影响差异很大,从没有明显差异到青少年母亲少 2.6 年不等。尽管有大量的政策和预防措施基于对负面的、可能是因果关系的影响的假设,但教育后果的程度仍然不确定。本研究通过使用单一的高质量数据源——国家青少年健康纵向研究,在两种潜在的不一致来源(方法学差异或队列差异)之间做出裁决。我们通过四种不同的统计策略复制了分析:普通最小二乘法回归;倾向得分匹配;参数和半参数最大似然估计。结果表明青少年生育有教育后果,估计青少年母亲的受教育年限减少 0.7 至 1.9 年。我们选择我们首选的估计值(0.7),这是基于半参数最大似然估计得出的,权衡了每种方法的优缺点。根据我们研究中观察到的估计影响范围,我们推测过去不一致的原因可能是变量统计方法。最后,我们讨论了对未来研究和政策的影响,并建议未来的研究采用类似的多方法方法来评估研究结果。