The Effects of Birth Inputs on Birthweight: Evidence From Quantile Estimation on Panel Data

被引:175
作者
Abrevaya, Jason [1 ]
Dahl, Christian M. [2 ,3 ]
机构
[1] Univ Texas Austin, Dept Econ, Austin, TX 78712 USA
[2] Univ Aarhus, CREATES, Aarhus, Denmark
[3] Univ Aarhus, Sch Econ & Management, Aarhus, Denmark
基金
新加坡国家研究基金会; 美国国家科学基金会;
关键词
Birthweight; Panel data; Quantile regression;
D O I
10.1198/073500107000000269
中图分类号
F [经济];
学科分类号
02 ;
摘要
Unobserved heterogeneity among childbearing women makes it difficult to isolate the causal effects of smoking and prenatal care on birth outcomes (such as birthweight). Whether a mother smokes, for instance, is likely to be correlated with unobserved characteristics of the mother. This article controls for such unobserved heterogeneity by using state-level panel data on maternally linked births. A quantile-estimation approach, motivated by a correlated random-effects model, is used to estimate the effects of smoking and other observables (number of prenatal-care visits, years of education, and so on) on the entire birthweight distribution.
引用
收藏
页码:379 / 397
页数:19
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