IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v26y2001i1p247-257.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • Jason Abrevaya, 2001. "The effects of demographics and maternal behavior on the distribution of birth outcomes," Empirical Economics, Springer, vol. 26(1), pages 247-257.
  • Handle: RePEc:spr:empeco:v:26:y:2001:i:1:p:247-257
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/00181/papers/1026001/10260247.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tsangyao Chang & WenRong Liu & Steven Caudill, 2004. "A re-examination of Wagner's law for ten countries based on cointegration and error-correction modelling techniques," Applied Financial Economics, Taylor & Francis Journals, pages 577-589.
    2. Bharat Kolluri & Michael Panik & Mahmoud Wahab, 2000. "Government expenditure and economic growth: evidence from G7 countries," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 1059-1068.
    3. Abu-Bader, Suleiman & Abu-Qarn, Aamer S., 2003. "Government expenditures, military spending and economic growth: causality evidence from Egypt, Israel, and Syria," Journal of Policy Modeling, Elsevier, vol. 25(6-7), pages 567-583, September.
    4. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    5. Hondroyiannis, George & Papapetrou, Evangelia, 1995. "An Examination of Wagner's Law for Greece: A Cointegration Analysis," Public Finance = Finances publiques, , vol. 50(1), pages 67-79.
    6. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, pages 99-126.
    7. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, pages 99-126.
    8. M. I. Ansari & D. V. Gordon & C. Akuamoah, 1997. "Keynes versus Wagner: public expenditure and national income for three African countries," Applied Economics, Taylor & Francis Journals, vol. 29(4), pages 543-550.
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    10. Holmes, James M & Hutton, Patricia A, 1990. "On the Causal Relationship between Government Expenditures and National Income," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 87-95, February.
    11. Ahsan, Syed M & Kwan, Andy C C & Sahni, Balbir S, 1989. "Causality between Government Consumption Expenditure and National Income: OECD Countries," Public Finance = Finances publiques, , vol. 44(2), pages 204-224.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    birthweight · natality · quantile regression;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I10 - Health, Education, and Welfare - - Health - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:empeco:v:26:y:2001:i:1:p:247-257. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.