IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Quantile effects of prenatal care utilization on birth weight in Argentina

  • George L. Wehby

    (Deptartment of Health Management and Policy, College of Public Health, University of Iowa, Iowa City, IA, USA)

  • Jeffrey C. Murray

    (Department of Pediatrics, College of Medicine, University of Iowa, Iowa City, IA, USA)

  • Eduardo E. Castilla
  • Jorge S. Lopez-Camelo

    (ECLAMC at Imbice, La Plata, Argentina)

  • Robert L. Ohsfeldt

    (Health Policy & Management, School of Rural Public Health, Texas A&M Health Science Center, College Station, TX, USA)

Registered author(s):

    The effects of prenatal care utilization on birth weight (BW) may vary by unobserved fetal health endowments. This heterogeneity will be masked by estimating the effects at BW mean but can be evaluated by estimating the effects at BW quantiles as fetal health endowment is a strong correlate with the BW quantile order. We estimated the effects of prenatal care visits and delay before prenatal care initiation, on BW mean and quantiles using a sample of infants from Argentina. Self-selection into prenatal care was modeled using 2SLS and instrumental variable quantile regression. Results suggest that the 'mean' effect of prenatal care utilization largely underestimates the effects at lower BW quantiles. About 35 and 77 g increase in BW mean and 0.1 quantile respectively, per visit and about 30 and 139 g decrease in BW mean and 0.1 quantile respectively, per week delayed, were estimated. Ignoring self-selection into prenatal care resulted in underestimation of mean and quantile effects. Results highlight the limitation of analyses focused on 'mean effects' in the presence of treatment heterogeneity and emphasize the importance of identifying women at risk for having infants at lower BW quantiles as they may benefit most from earlier and more intensive prenatal care. Copyright © 2009 John Wiley & Sons, Ltd.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://hdl.handle.net/10.1002/hec.1431
    File Function: Link to full text; subscription required
    Download Restriction: no

    Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

    Volume (Year): 18 (2009)
    Issue (Month): 11 ()
    Pages: 1307-1321

    as
    in new window

    Handle: RePEc:wly:hlthec:v:18:y:2009:i:11:p:1307-1321
    Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Theodore Joyce, 1990. "Self-Selection, Prenatal Care, and Birthweight Among Blacks, Whites and Hispanics in New York City," NBER Working Papers 3549, National Bureau of Economic Research, Inc.
    2. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    3. 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.
    4. Omar Arias & Walter Sosa-Escudero & Kevin F. Hallock, 2001. "Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data," Empirical Economics, Springer, vol. 26(1), pages 7-40.
    5. Chernozhukov, Victor & Hansen, Christian, 2008. "The reduced form: A simple approach to inference with weak instruments," Economics Letters, Elsevier, vol. 100(1), pages 68-71, July.
    6. Victor Chernozhukov & Christian Hansen, 2004. "The Effects of 401(K) Participation on the Wealth Distribution: An Instrumental Quantile Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 735-751, August.
    7. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    8. Conway, Karen Smith & Deb, Partha, 2005. "Is prenatal care really ineffective? Or, is the 'devil' in the distribution?," Journal of Health Economics, Elsevier, vol. 24(3), pages 489-513, May.
    9. Geoffrey Warner, 1998. "Birthweight Productivity of Prenatal Care," Southern Economic Journal, Southern Economic Association, vol. 65(1), pages 42-63, July.
    10. Warner, Geoffrey L, 1995. "Prenatal Care Demand and Birthweight Production of Black Mothers," American Economic Review, American Economic Association, vol. 85(2), pages 132-37, May.
    11. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, 01.
    12. R. Todd Jewell & Patricia Triunfo, 2006. "The impact of prenatal care on birthweight: the case of Uruguay," Health Economics, John Wiley & Sons, Ltd., vol. 15(11), pages 1245-1250.
    13. Jeffrey J. Rous & R. Todd Jewell & Robert W. Brown, 2004. "The effect of prenatal care on birthweight: a full-information maximum likelihood approach," Health Economics, John Wiley & Sons, Ltd., vol. 13(3), pages 251-264.
    14. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
    15. R. Todd Jewell, 2007. "Prenatal care and birthweight production: evidence from South America," Applied Economics, Taylor & Francis Journals, vol. 39(4), pages 415-426.
    16. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    17. Chernozhukov, Victor & Hansen, Christian & Jansson, Michael, 2007. "Inference approaches for instrumental variable quantile regression," Economics Letters, Elsevier, vol. 95(2), pages 272-277, May.
    18. Mark R. Rosenzweig & T. Paul Schultz, 1988. "The Stability of Household Production Technology: A Replication," Journal of Human Resources, University of Wisconsin Press, vol. 23(4), pages 535-549.
    19. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:18:y:2009:i:11:p:1307-1321. 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: (Wiley-Blackwell Digital Licensing)

    or (Christopher F. Baum)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.