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The effects of demographics and maternal behavior on the distribution of birth outcomes

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  • Jason Abrevaya

    () (The University of Chicago, Graduate School of Business, 1101 East 58th Street, Chicago, IL 60637)

Abstract

This paper utilizes quantile-regression techniques in order to estimate the effects of demographics and maternal behavior during pregnancy at various quantiles of the birthweight distribution. Due to the high costs and long-term effects (both medical and economic) associated with low-birthweight babies, there is a great deal of interest in quantifying these effects, particularly at the lower end of the birthweight distribution. Using large samples of 1992 and 1996 births in the United States, the quantile-regression estimates indicate that several factors (including race, education, and prenatal care) have a significantly higher impact at lower quantiles and lower impact at higher quantiles. These effects at lower quantiles are underestimated by least-squares regression estimates. The inequality in birthweights implied by these results is quite significant, and there is little indication that the inequality has changed much in recent years.

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Bibliographic Info

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 26 (2001)
Issue (Month): 1 ()
Pages: 247-257

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Handle: RePEc:spr:empeco:v:26:y:2001:i:1:p:247-257

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Related research

Keywords: birthweight · natality · quantile regression;

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Cited by:
  1. Shanti Gamper-Rabindran & Shakeeb Khan & Christopher Timmins, 2008. "The Impact of Piped Water Provision on Infant Mortality in Brazil: A Quantile Panel Data Approach," NBER Working Papers 14365, National Bureau of Economic Research, Inc.
  2. Ramdani D. & Van Witteloostuijn A., 2009. "Board Independence, CEO Duality and Firm Performance: A Quantile Regression Analysis for Indonesia, Malaysia, South Korea and Thailand," Working Papers 2009004, University of Antwerp, Faculty of Applied Economics.
  3. Costa-Font, Montserrat & Costa-Font, Joan, 2009. "Heterogeneous 'adaptation' and 'income effects' across self-reported health distribution?," The Journal of Socio-Economics, Elsevier, vol. 38(4), pages 574-580, August.
  4. Andrew M. Jones & Ángel López-Nicolás, 2002. "The importance of individual heterogeneity in the decomposition of measures of socioeconomic inequality in health: An approach based on quantile regression," Economics Working Papers 626, Department of Economics and Business, Universitat Pompeu Fabra.
  5. Stefan Holst Bache & Christian M. Dahl & Johannes Tang, . "Headlights on tobacco road to low birthweight outcomes - Evidence from a battery of quantile regression estimators and a heterogeneous panelCreation-Date: 20080508," CREATES Research Papers 2008-20, School of Economics and Management, University of Aarhus.
  6. Sai Ma & Brian Finch, 2010. "Birth Outcome Measures and Infant Mortality," Population Research and Policy Review, Springer, vol. 29(6), pages 865-891, December.
  7. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521608275.
  8. Kompal Sinha, 2005. "Household Characteristics and Calorie Intake in Rural India: A Quantile Regression Approach," ASARC Working Papers 2005-02, The Australian National University, Australia South Asia Research Centre.
  9. George L. Wehby & Jeffrey C. Murray & Eduardo E. Castilla & Jorge S. Lopez-Camelo & Robert L. Ohsfeldt, 2009. "Quantile effects of prenatal care utilization on birth weight in Argentina," Health Economics, John Wiley & Sons, Ltd., vol. 18(11), pages 1307-1321.
  10. Chris Herbst & Erdal Tekin, 2011. "Child care subsidies and childhood obesity," Review of Economics of the Household, Springer, vol. 9(3), pages 349-378, September.
  11. Borooah, Vani K., 2005. "The height-for-age of Indian children," Economics & Human Biology, Elsevier, vol. 3(1), pages 45-65, March.
  12. Wolfgang Frimmel & Gerald J. Pruckner, 2011. "Birth weight and family status revisited: evidence from Austrian register data," Economics working papers 2011-17, Department of Economics, Johannes Kepler University Linz, Austria.
  13. Colin Cannonier, . "State Abstinence Education Programs and Teen Fertility in the U.S," Departmental Working Papers 2009-14, Department of Economics, Louisiana State University.
  14. Colin Cannonier, 2012. "State abstinence education programs and teen birth rates in the US," Review of Economics of the Household, Springer, vol. 10(1), pages 53-75, March.
  15. Rothe, Christoph, 2010. "Nonparametric Estimation of Distributional Policy Effects," Open Access publications from University of Toulouse 1 Capitole http://neeo.univ-tlse1.fr, University of Toulouse 1 Capitole.
  16. Gamper-Rabindran, Shanti & Khan, Shakeeb & Timmins, Christopher, 2010. "The impact of piped water provision on infant mortality in Brazil: A quantile panel data approach," Journal of Development Economics, Elsevier, vol. 92(2), pages 188-200, July.

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