Journal
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
Volume 26, Issue 4, Pages 379-397Publisher
AMER STATISTICAL ASSOC
DOI: 10.1198/073500107000000269
Keywords
Birthweight; Panel data; Quantile regression
Funding
- 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]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available