McLanahan Sara, Tach Laura, Schneider Daniel
Office of Population Research, Princeton University, Princeton, New Jersey 08544;
Department of Policy Analysis and Management, Cornell University, Ithaca, New York 14853;
Annu Rev Sociol. 2013 Jul;39:399-427. doi: 10.1146/annurev-soc-071312-145704.
The literature on father absence is frequently criticized for its use of cross-sectional data and methods that fail to take account of possible omitted variable bias and reverse causality. We review studies that have responded to this critique by employing a variety of innovative research designs to identify the causal effect of father absence, including studies using lagged dependent variable models, growth curve models, individual fixed effects models, sibling fixed effects models, natural experiments, and propensity score matching models. Our assessment is that studies using more rigorous designs continue to find negative effects of father absence on offspring well-being, although the magnitude of these effects is smaller than what is found using traditional cross-sectional designs. The evidence is strongest and most consistent for outcomes such as high school graduation, children's social-emotional adjustment, and adult mental health.
关于父亲缺席的文献经常因其使用横断面数据和方法而受到批评,这些数据和方法未能考虑到可能的遗漏变量偏差和反向因果关系。我们回顾了一些研究,这些研究通过采用各种创新的研究设计来回应这一批评,以确定父亲缺席的因果效应,包括使用滞后因变量模型、增长曲线模型、个体固定效应模型、兄弟姐妹固定效应模型、自然实验和倾向得分匹配模型的研究。我们的评估是,使用更严格设计的研究继续发现父亲缺席对后代幸福感有负面影响,尽管这些影响的程度比使用传统横断面设计所发现的要小。对于高中毕业、儿童的社会情感适应和成人心理健康等结果,证据最为充分且一致。