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分类依据与纠错

AI 根据所提供的论文材料归类:摘要明确研究外生指定家庭结构的处理效应、内生选择、识别不足和非参数界,直接对应因果推断。

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关注这篇论文的作者
Charles F. Manski
Gary D. Sandefur
Sara McLanahan
Daniel Powers

青少年时期家庭结构对高中毕业影响的不同估计

研究问题
如果家庭结构由外生方式指定而非父母选择,高中毕业概率会如何变化,观测关联能在多大程度上识别这一处理效应?
方法与思路
作者使用青年纵向调查数据,对比强先验信息下的参数潜变量模型、无先验信息的非参数界,以及外生性假设下的非参数估计。
材料陈述的贡献
摘要称数据本身不足以识别处理效应,点估计依赖额外信息;其分析增强了完整家庭与较高毕业概率相关的证据。
阅读关注点
应核对各潜变量模型与外生性假设、非参数界的构造和比较对象,区分观测关联、界限结论及依赖假设的点估计。
阅读边界
材料为版本未注明的 OpenAlex 索引摘要;具体界限、估计数值及假设细节未提供,不能将经验关联直接视为已识别因果效应或推断刊本变化。

原文摘要

Many studies have reported significant empirical associations between family structure during childhood and children's outcomes later in life. It may be that living in a nonintact family has adverse consequences for children. On the other hand, it may be that some unobserved process jointly determines family structure and children's outcomes. How then should one interpret the empirical evidence on the relationship between family structure and children's outcomes? The answer depends on the question asked and on the prior information available to the researcher. We seek to interpret the association between family structure and high school graduation found among respondents in the National Longitudinal Study of Youth. We seek to answer the traditional question of the literature on treatment effects: How would the probability of high school graduation vary with family structure if family structure were not selected by parents but were, instead, an exogenously assigned “treatment,” as in a clinical trial or other controlled experiment? The inferential problem is that the data alone do not suffice to identify the treatment effect. Hence any attempt to estimate a treatment effect depends critically on the prior information available to the researcher. We develop alternative estimates of the effect of family structure on high school graduation, obtained under differing assumptions about the actual process generating family structure and high school outcomes. We first assume strong prior information and present estimates of a set of parametric latent-variable models explaining family structure and children's outcomes. We then assume no prior information at all and report estimates of nonparametric bounds on the graduation probabilities. Finally, we give non-parametric estimates obtained under the assumption that family structure is exogenous with respect to high school graduation. Our empirical analysis strengthens the evidence that living in an intact family increases the probability that a child will graduate from high school. We also report that the probability of high school graduation increases markedly with both parents’ education, regardless of family structure. At the same time, we stress that prior information is necessary if one is to do more than bound the effect of family structure on children's outcomes. Any point estimate embodies prior information about the process generating family structure and children's outcomes. As long as social scientists are heterogenous in their beliefs about this process, their estimates of family-structure effects may vary.

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