IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Public health spending and infant and child mortality in India: a state-year panel analysis

  • Kaushal, Kaushalendra Kumar
  • Abhishek, Abhishek Singh
  • F Ram, Faujdar Ram
  • Subu, S V Subramanian
Registered author(s):

    Background: To investigate the association between public health spending and probability of infant and child death in India. Methods: We used data from the three rounds of National Family Health Survey (NFHS) conducted in India during 1992-93, 1998-99 and 2005-06 to investigate the association between public health spending and probability of infant and child death. We used data from the birth history of three NFHS rounds to create state-year panels of births, infant and child deaths, state-level public finance variables, food grain production, household and individual variables for the period 1980-2005. Two-stage probit regression model is used to investigate the association. State-level per capita gross fiscal deficit is used as an instrument for estimating two-stage probit model. Findings: Findings suggest association between public health spending and infant and child mortality in India. A 10% increase in per capita public health spending is likely to reduce the probability of infant and child deaths by 0•005 (95% CI: 0•003, 0•007) and 0•003 (95% CI: 0•002, 0•004) respectively. The second and third lags of public health spending were also statistically significant. Other factors affecting infant and child death were sex of the child, birth order, mother’s age at birth of the index child, mother’s schooling and urban-rural residence. Interpretation: Public health spending was associated with probability of infant and child death in India. Our findings lend support to the government’s initiative to increase public health spending in India.

    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:
    File Function: original version
    Download Restriction: no

    Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 52425.

    in new window

    Date of creation: 06 Sep 2013
    Date of revision:
    Handle: RePEc:pra:mprapa:52425
    Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany
    Phone: +49-(0)89-2180-2219
    Fax: +49-(0)89-2180-3900
    Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    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:pra:mprapa:52425. 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: (Ekkehart Schlicht)

    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.