A new quantile treatment effect model for studying smoking effect on birth weight during Mother's pregnancy

Journal of Management Science and Engineering

Ming Lin¹  Zongwu Cai²  Ying Fang³  Shengfang Tang³ 

[1] Department of Statistics and Data Science, School of Economics, Xiamen University, Xiamen, 361005, China;Department of Economics, University of Kansas, Lawrence, KS, 66045, USA;Wang Yanan Institute for Studies in Economics and Fujian Key Laboratory of Statistical Sciences, Xiamen University, Xiamen, 361005, China;

关键词: Birth weight;    Heterogeneity;    Quantile regression;    Smoking;    Treatment effect;   

DOI  :  

来源: DOAJ

【 摘 要 】

This paper proposes a new quantile regression model to characterize the heterogeneity for distributional effects of maternal smoking during pregnancy on infant birth weight across different the mother's age. By imposing a parametric restriction on the quantile functions of the potential outcome distributions conditional on the mother's age, we estimate the quantile treatment effects of maternal smoking during pregnancy on her baby's birth weight across different age groups of mothers. The results show strongly that the quantile effects of maternal smoking on low infant birth weight are negative and substantially heterogenous across different ages.

【 授权许可】

Unknown