Advanced Search
MyIDEAS: Login

The impact of piped water provision on infant mortality in Brazil: A quantile panel data approach

Contents:

Author Info

  • Gamper-Rabindran, Shanti
  • Khan, Shakeeb
  • Timmins, Christopher
Registered author(s):

    Abstract

    We examine the impact of piped water on the under-1 infant mortality rate (IMR) in Brazil using a recently developed econometric procedure for the estimation of quantile treatment effects with panel data. The provision of piped water in Brazil is highly correlated with other observable and unobservable determinants of IMR -- the latter leading to an important source of bias. Instruments for piped water provision are not readily available, and fixed effects to control for time-invariant correlated unobservables are invalid in the simple quantile regression framework. Using the quantile panel data procedure in Chen and Khan [Chen, S., Khan, S., Semiparametric estimation of non-stationary censored panel model data models with time-varying factor. Econometric Theory 2007; forthcoming], our estimates indicate that the provision of piped water reduces infant mortality by significantly more at the higher conditional quantiles of the IMR distribution than at the lower conditional quantiles (except for cases of extreme underdevelopment). These results imply that targeting piped water intervention toward areas in the upper quantiles of the conditional IMR distribution, when accompanied by other basic public health inputs, can achieve significantly greater reductions in infant mortality.

    Download Info

    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://www.sciencedirect.com/science/article/B6VBV-4VT1G0N-1/2/dc9a56a361d1fec8acacb38fbc5ba3a6
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Development Economics.

    Volume (Year): 92 (2010)
    Issue (Month): 2 (July)
    Pages: 188-200

    as in new window
    Handle: RePEc:eee:deveco:v:92:y:2010:i:2:p:188-200

    Contact details of provider:
    Web page: http://www.elsevier.com/locate/devec

    Related research

    Keywords: Infant mortality Piped water supply Quantile regression with panel data Heterogenous program impact Distribution of public goods;

    References

    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. 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.
    2. Hilary W. Hoynes & Marianne P Bitler & Jonah Gelbach, 2005. "What Mean Impacts Miss:Distributional Effects of Welfare Reform Experiments," Working Papers 531, University of California, Davis, Department of Economics.
    3. Heckman, James J & Smith, Jeffrey, 1997. "Making the Most Out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 487-535, October.
    4. Abou-Ali, Hala, 2003. "The effect of water and sanitation on child mortality in Egypt," Working Papers in Economics 112, University of Gothenburg, Department of Economics.
    5. Jalan, Jyotsna & Ravallion, Martin, 2003. "Does piped water reduce diarrhea for children in rural India?," Journal of Econometrics, Elsevier, vol. 112(1), pages 153-173, January.
    6. Hilary W. Hoynes & Marianne P Bitler & Jonah B. Gelbach, 2005. "Distributional Impacts of the Self-Sufficiency Project," Working Papers 530, University of California, Davis, Department of Economics.
    7. Curtis, Valerie & Kanki, Bernadette & Mertens, Thierry & Traore, Etienne & Diallo, Ibrahim & Tall, François & Cousens, Simon, 1995. "Potties, pits and pipes: Explaining hygiene behaviour in Burkina Faso," Social Science & Medicine, Elsevier, vol. 41(3), pages 383-393, August.
    8. Senauer, Benjamin & Kassouf, Ana L, 2000. "The Effects of Breastfeeding on Health and the Demand for Medical Assistance among Children in Brazil," Economic Development and Cultural Change, University of Chicago Press, vol. 48(4), pages 719-36, July.
    9. Thomas, Duncan & Strauss, John, 1992. "Prices, infrastructure, household characteristics and child height," Journal of Development Economics, Elsevier, vol. 39(2), pages 301-331, October.
    10. Alves, Denisard & Belluzzo, Walter, 2004. "Infant mortality and child health in Brazil," Economics & Human Biology, Elsevier, vol. 2(3), pages 391-410, December.
    11. Duncan Thomas & John Strauss & Maria-Helena Henriques, 1991. "How Does Mother's Education Affect Child Height?," Journal of Human Resources, University of Wisconsin Press, vol. 26(2), pages 183-211.
    12. Barrera, Albino, 1990. "The role of maternal schooling and its interaction with public health programs in child health production," Journal of Development Economics, Elsevier, vol. 32(1), pages 69-91, January.
    13. 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.
    14. Mushfiq Mobarak, Ahmed & Rajkumar, Andrew Sunil & Cropper, Maureen, 2005. "The political economy of health services provision and access in Brazil," Policy Research Working Paper Series 3508, The World Bank.
    15. 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.
    16. Barnum, Howard, 1988. "Interaction of infant mortality and fertility and the effectiveness of health and family planning programs," Policy Research Working Paper Series 65, The World Bank.
    17. Sastry, Narayan & Burgard, Sarah, 2005. "The prevalence of diarrheal disease among Brazilian children: trends and differentials from 1986 to 1996," Social Science & Medicine, Elsevier, vol. 60(5), pages 923-935, March.
    18. Narayan Sastry, 1996. "Community characteristics, individual and household attributes, and child survival in brazil," Demography, Springer, vol. 33(2), pages 211-229, May.
    19. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    20. Joseph Potter & Carl Schmertmann & Suzana Cavenaghi, 2002. "Fertility and development: evidence from Brazil," Demography, Springer, vol. 39(4), pages 739-761, November.
    21. Khan, Shakeeb & Tamer, Elie, 2009. "Inference on endogenously censored regression models using conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 152(2), pages 104-119, October.
    22. Lee, Lung-fei & Rosenzweig, Mark R. & Pitt, Mark M., 1997. "The effects of improved nutrition, sanitation, and water quality on child health in high-mortality populations," Journal of Econometrics, Elsevier, vol. 77(1), pages 209-235, March.
    23. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521608275, October.
    24. Narayan Sastry & Sarah Burgard, 2002. "Diarrheal Disease and its Treatment among Brazilian Children: Stagnation and Progress over a Ten-Year Period," Working Papers 02-04, RAND Corporation Publications Department.
    25. Alberto Abadie & Joshua Angrist & Guido Imbens, 1999. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Working papers 99-16, Massachusetts Institute of Technology (MIT), Department of Economics.
    26. Ahn, Seung Chan & Hoon Lee, Young & Schmidt, Peter, 2001. "GMM estimation of linear panel data models with time-varying individual effects," Journal of Econometrics, Elsevier, vol. 101(2), pages 219-255, April.
    27. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    28. Thomas, Duncan & Strauss, John & Henriques, Maria-Helena, 1990. "Child survival, height for age and household characteristics in Brazil," Journal of Development Economics, Elsevier, vol. 33(2), pages 197-234, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.

    Lists

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

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:eee:deveco:v:92:y:2010:i:2:p:188-200. 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: (Zhang, Lei).

    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.