IDEAS home Printed from https://ideas.repec.org/p/ecl/yaleco/52.html
   My bibliography  Save this paper

The Production of Child Health in Kenya: A Structural Model of Birth Weight

Author

Listed:
  • Mwabu, Germano

    (U of Kenya)

Abstract

The paper investigates birth weight and its correlates in Kenya using nationally representative data collected by the government in the early 1990s. I find that immunization of the mother against tetanus during pregnancy is strongly associated with improvements in birth weight. Other factors significantly correlated with birth weight include age of the mother at first birth and birth orders of siblings. It is further found that birth weight is positively associated with mother's age at first birth and with higher birth orders, with the first born child being substantially lighter than subsequent children. Newborn infants are heavier in urban than in rural areas and females are born lighter than males. There is evidence suggesting that a baby born at the clinic is heavier than a newborn baby drawn randomly from the general population.

Suggested Citation

  • Mwabu, Germano, 2008. "The Production of Child Health in Kenya: A Structural Model of Birth Weight," Working Papers 52, Yale University, Department of Economics.
  • Handle: RePEc:ecl:yaleco:52
    as

    Download full text from publisher

    File URL: http://economics.yale.edu/sites/default/files/files/Working-Papers/wp000/ddp0052.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. James Heckman & Edward Vytlacil, 1998. "Instrumental Variables Methods for the Correlated Random Coefficient Model: Estimating the Average Rate of Return to Schooling When the Return is Correlated with Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 974-987.
    2. Douglas Almond & Kenneth Y. Chay & David S. Lee, 2005. "The Costs of Low Birth Weight," The Quarterly Journal of Economics, Oxford University Press, vol. 120(3), pages 1031-1083.
    3. John Strauss & Duncan Thomas, 1998. "Health, Nutrition, and Economic Development," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 766-817, June.
    4. Michael Grossman, 1972. "The Demand for Health: A Theoretical and Empirical Investigation," NBER Books, National Bureau of Economic Research, Inc, number gros72-1, April.
    5. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters,in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492 National Bureau of Economic Research, Inc.
    6. Nelson, Charles R & Startz, Richard, 1990. "The Distribution of the Instrumental Variables Estimator and Its t-Ratio When the Instrument Is a Poor One," The Journal of Business, University of Chicago Press, vol. 63(1), pages 125-140, January.
    7. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    8. Mark R. Rosenzweig & Junsen Zhang, 2009. "Do Population Control Policies Induce More Human Capital Investment? Twins, Birth Weight and China's "One-Child" Policy," Review of Economic Studies, Oxford University Press, vol. 76(3), pages 1149-1174.
    9. Robert Fogel & Dora Costa, 1997. "A theory of technophysio evolution, with some implications for forecasting population, health care costs, and pension costs," Demography, Springer;Population Association of America (PAA), vol. 34(1), pages 49-66, February.
    10. Tomas J. Philipson & William H. Dow & Xavier Sala-i-Martin, 1999. "Longevity Complementarities under Competing Risks," American Economic Review, American Economic Association, vol. 89(5), pages 1358-1371, December.
    11. Strauss, John & Thomas, Duncan, 1995. "Human resources: Empirical modeling of household and family decisions," Handbook of Development Economics,in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 34, pages 1883-2023 Elsevier.
    12. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    13. Grossman, Michael, 1982. "The demand for health after a decade," Journal of Health Economics, Elsevier, vol. 1(1), pages 1-3, May.
    14. John Shea, 1997. "Instrument Relevance in Multivariate Linear Models: A Simple Measure," The Review of Economics and Statistics, MIT Press, vol. 79(2), pages 348-352, May.
    15. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    16. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    17. Mark R. Rosenzweig & T. Paul Schultz, 1982. "The Behavior of Mothers as Inputs to Child Health: The Determinants of Birth Weight, Gestation, and Rate of Fetal Growth," NBER Chapters,in: Economic Aspects of Health, pages 53-92 National Bureau of Economic Research, Inc.
    18. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    19. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    20. Glewwe, Paul & Kremer, Michael & Moulin, Sylvie & Zitzewitz, Eric, 2004. "Retrospective vs. prospective analyses of school inputs: the case of flip charts in Kenya," Journal of Development Economics, Elsevier, vol. 74(1), pages 251-268, June.
    21. Grossman, Michael & Joyce, Theodore J, 1990. "Unobservables, Pregnancy Resolutions, and Birth Weight Production Functions in New York City," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 983-1007, October.
    22. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
    23. Withers, C.S. & McGavin, P.N., 2006. "Expressions for the normal distribution and repeated normal integrals," Statistics & Probability Letters, Elsevier, vol. 76(5), pages 479-487, March.
    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


    Cited by:

    1. Lamichhane, Dirga Kumar & Mangyo, Eiji, 2011. "Water accessibility and child health: Use of the leave-out strategy of instruments," Journal of Health Economics, Elsevier, vol. 30(5), pages 1000-1010.
    2. Grace, Kathryn & Brown, Molly & McNally, Amy, 2014. "Examining the link between food prices and food insecurity: A multi-level analysis of maize price and birthweight in Kenya," Food Policy, Elsevier, vol. 46(C), pages 56-65.

    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ecl:yaleco:52. 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: (). General contact details of provider: http://edirc.repec.org/data/edyalus.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 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.