Department of Economics and Business Economics

Headlights on tobacco road to low birthweight outcomes: Evidence from a battery of quantile regression estimators and a heterogeneous panel

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Headlights on tobacco road to low birthweight outcomes : Evidence from a battery of quantile regression estimators and a heterogeneous panel. / Bache, Stefan Holst; Dahl, Christian Møller; Kristensen, Johannes Tang.

In: Empirical Economics, Vol. 44, No. 3, 06.2013, p. 1593-1633.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

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Bache, Stefan Holst ; Dahl, Christian Møller ; Kristensen, Johannes Tang. / Headlights on tobacco road to low birthweight outcomes : Evidence from a battery of quantile regression estimators and a heterogeneous panel. In: Empirical Economics. 2013 ; Vol. 44, No. 3. pp. 1593-1633.

Bibtex

@article{590ff4c0a73b40529bd6b3d6221263d2,
title = "Headlights on tobacco road to low birthweight outcomes: Evidence from a battery of quantile regression estimators and a heterogeneous panel",
abstract = "Low birthweight outcomes are associated with considerable social and economic costs, and therefore the possible determinants of low birthweight are of great interest. One such determinant which has received considerable attention is maternal smoking. From an economic perspective this is in part due to the possibility that smoking habits can be influenced through policy conduct. It is widely believed that maternal smoking reduces birthweight; however, the crucial difficulty in estimating such effects is the unobserved heterogeneity among mothers and the fact that estimation of conditional mean effects seems potentially inappropriate. We provide a unified view on the estimation of relationships between prenatal smoking and birthweight outcomes with quantile regression approaches for panel data and emphasize their differences. This paper contributes to the literature in three ways: (i) we focus not only on one technique, but provide evidence from several approaches and highlight a variety of statistical issues; (ii) the performance of the methods are thoroughly tested in a simulated environment, and recommendations are given on their appropriate use; (iii) our results are based on a detailed data set, which includes many relevant control variables for socio-economic, wealth, and personal characteristics.",
keywords = "Quantile regression, Low birthweight, Panel data, Unobserved heterogeneity",
author = "Bache, {Stefan Holst} and Dahl, {Christian M{\o}ller} and Kristensen, {Johannes Tang}",
note = "Campus adgang til artiklen / Campus access to the article",
year = "2013",
month = jun,
doi = "10.1007/s00181-012-0570-8",
language = "English",
volume = "44",
pages = "1593--1633",
journal = "Empirical Economics",
issn = "0377-7332",
publisher = "Springer",
number = "3",

}

RIS

TY - JOUR

T1 - Headlights on tobacco road to low birthweight outcomes

T2 - Evidence from a battery of quantile regression estimators and a heterogeneous panel

AU - Bache, Stefan Holst

AU - Dahl, Christian Møller

AU - Kristensen, Johannes Tang

N1 - Campus adgang til artiklen / Campus access to the article

PY - 2013/6

Y1 - 2013/6

N2 - Low birthweight outcomes are associated with considerable social and economic costs, and therefore the possible determinants of low birthweight are of great interest. One such determinant which has received considerable attention is maternal smoking. From an economic perspective this is in part due to the possibility that smoking habits can be influenced through policy conduct. It is widely believed that maternal smoking reduces birthweight; however, the crucial difficulty in estimating such effects is the unobserved heterogeneity among mothers and the fact that estimation of conditional mean effects seems potentially inappropriate. We provide a unified view on the estimation of relationships between prenatal smoking and birthweight outcomes with quantile regression approaches for panel data and emphasize their differences. This paper contributes to the literature in three ways: (i) we focus not only on one technique, but provide evidence from several approaches and highlight a variety of statistical issues; (ii) the performance of the methods are thoroughly tested in a simulated environment, and recommendations are given on their appropriate use; (iii) our results are based on a detailed data set, which includes many relevant control variables for socio-economic, wealth, and personal characteristics.

AB - Low birthweight outcomes are associated with considerable social and economic costs, and therefore the possible determinants of low birthweight are of great interest. One such determinant which has received considerable attention is maternal smoking. From an economic perspective this is in part due to the possibility that smoking habits can be influenced through policy conduct. It is widely believed that maternal smoking reduces birthweight; however, the crucial difficulty in estimating such effects is the unobserved heterogeneity among mothers and the fact that estimation of conditional mean effects seems potentially inappropriate. We provide a unified view on the estimation of relationships between prenatal smoking and birthweight outcomes with quantile regression approaches for panel data and emphasize their differences. This paper contributes to the literature in three ways: (i) we focus not only on one technique, but provide evidence from several approaches and highlight a variety of statistical issues; (ii) the performance of the methods are thoroughly tested in a simulated environment, and recommendations are given on their appropriate use; (iii) our results are based on a detailed data set, which includes many relevant control variables for socio-economic, wealth, and personal characteristics.

KW - Quantile regression

KW - Low birthweight

KW - Panel data

KW - Unobserved heterogeneity

U2 - 10.1007/s00181-012-0570-8

DO - 10.1007/s00181-012-0570-8

M3 - Journal article

VL - 44

SP - 1593

EP - 1633

JO - Empirical Economics

JF - Empirical Economics

SN - 0377-7332

IS - 3

ER -