Headlights on tobacco road to low birthweight outcomes

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

Christian M. Dahl, Stefan Holst Bache, Johannes Tang Kristensen

Research output: Contribution to journalJournal articleResearchpeer-review

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.
Original languageEnglish
JournalEmpirical Economics
Volume44
Issue number3
Pages (from-to)1593-1633
ISSN0377-7332
DOIs
Publication statusPublished - 2013

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Quantile Regression
Regression Estimator
Smoking
Tobacco
Battery
nicotine
smoking
road
regression
Economics
evidence
Determinant
determinants
Unobserved Heterogeneity
economics
Panel Data
habits
Recommendations
Evidence
Estimator

Cite this

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

In: Empirical Economics, Vol. 44, No. 3, 2013, p. 1593-1633.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

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

AU - Dahl, Christian M.

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AU - Kristensen, Johannes Tang

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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.

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