4.5 Article

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

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

  1. Kinley Trust Grant (Purdue University)
  2. Robert Wood Johnson Foundation
  3. National Science Foundation [SES-0451660]
  4. Danish National Research Foundation
  5. Danish Social Sciences Research Council [275-06-0105]

向作者/读者索取更多资源

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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