A New Quantile Treatment Effect Model for Studying Smoking Effect on Birth Weight During Mother's Pregnancy

Shengfang Tang, Zongwu Cai, Ying Fang and Ming Lin
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Shengfang Tang: Department of Statistics, School of Economics, Xiamen University, Xiamen, Fujian 361005, China
Zongwu Cai: Department of Economics, The University of Kansas, Lawrence, KS 66045, USA
Ying Fang: The Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, Fujian 361005, China
Ming Lin: The Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, Fujian 361005, China

No 202003, WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS from University of Kansas, Department of Economics

Abstract: 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 sub-populations denfied by 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 infant birth weight are negative and substantially heterogenous across different ages.

Keywords: Birth weight; Heterogeneity; Quantile regression; Smoking; Treatment effect (search for similar items in EconPapers)
JEL-codes: C12 C13 C14 C23 (search for similar items in EconPapers)
Date: 2020-02, Revised 2020-02
New Economics Papers: this item is included in nep-hea
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