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

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

  • Stefan Holst Bache, University of Southern Denmark, Denmark
  • Christian Møller Dahl, University of Southern Denmark, Denmark
  • Johannes Tang Kristensen
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
Pages (from-to)1593-1633
Number of pages41
Publication statusPublished - Jun 2013

See relations at Aarhus University Citationformats

ID: 41913254