Maternal Smoking, Misclassification, and Infant Health
Maternal Smoking, Misclassification, and Infant Health
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母亲吸烟、错误分类和婴儿健康
DOI：
10.2139/ssrn.1009781
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发表时间：
2008
期刊：
影响因子：
2.1
通讯作者：
Tanguy Brachet
中科院分区：
文献类型：
--
作者：
Tanguy Brachet
确定产前母亲吸烟对婴儿健康的因果影响是复杂的，因为不可观察的母亲特征和行为似乎与出生结果和母亲吸烟倾向有关。以前的研究使用工具变量（IV）技术解决了遗漏变量的问题。然而，对于母亲吸烟的自我报告数据，误报可能导致静脉注射估计值比OLS估计值更严重的偏差。本文提出了一种基于参数方法的二元因变量误分类方法，该方法同时解决了内生性和测量误差问题。然后使用美国出生记录重新检查婴儿健康与母亲吸烟之间的关系。我发现大约30%的吸烟母亲被错误地归类为不吸烟者。因此，传统的静脉注射估计带来了令人难以置信的巨大出生体重损失（非洲裔美国人的体重损失超过1000克）。考虑到错误分类产生的估计值在量级上要小得多，并且更符合实验证据。
Identifying the causal effect of prenatal maternal smoking on infant health is complicated by unobservable maternal characteristics and behaviors which are plausibly related to both birth outcomes and a mother’s propensity to smoke. Previous studies have addressed the omitted variables problem using instrumental variables (IV) techniques. However, with self-reported data on maternal smoking, misreporting can induce more severe biases in IV estimates than in OLS. This paper proposes an approach based on parametric methods for misclassified binary dependent variables that simultaneously addresses the endogeneity and measurement error problems. The relationship between infant health and maternal smoking is then re-examined using US Birth Records. I find that roughly 30% of smoking mothers are misclassified as non-smokers. As a result, conventional IV estimates deliver implausibly large birth weight losses (upwards of 1,000 grams among African Americans). Accounting for misclassification yields estimates that are considerably smaller in magnitude and more consistent with experimental evidence.
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影响因子：
5
作者：
M. Klebanoff;Richard J. Levine;J. Clemens;R. Dersimonian;D. Wilkins
通讯作者：
M. Klebanoff;Richard J. Levine;J. Clemens;R. Dersimonian;D. Wilkins
妇女与吸烟：卫生局局长的报告。
DOI：
10.1080/14622200210135650
发表时间：
2002
期刊：
Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
影响因子：
--
作者：
Satcher,David;Thompson,TommyG;Koplan,JeffreyP
通讯作者：
Koplan,JeffreyP
影响因子：
5.6
作者：
Reichman, NE;Hade, EM
通讯作者：
Hade, EM
影响因子：
158.5
作者：
Ness, RB;Grisso, JA;Kline, J
通讯作者：
Kline, J