期刊
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
卷 26, 期 4, 页码 379-397出版社
AMER STATISTICAL ASSOC
DOI: 10.1198/073500107000000269
关键词
Birthweight; Panel data; Quantile regression
资金
- Kinley Trust Grant (Purdue University)
- Robert Wood Johnson Foundation
- National Science Foundation [SES-0451660]
- Danish National Research Foundation
- Danish Social Sciences Research Council [275-06-0105]
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.
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