IDEAS home Printed from https://ideas.repec.org/p/ecm/nawm04/513.html
   My bibliography  Save this paper

The Impact of Chronic Disease Burden on Education, Fertility and Economic Growth – Evidence from the American South

Author

Listed:
  • Fabian Lange
  • Hoyt Bleakley

Abstract

This study contains evidence on the importance of chronic disease burden on human-capital and fertility decisions in developing regions. The episode analyzed is the eradication of hookworm disease in the American South (c. 1910). In previous work (Bleakley 2002), it was shown that the hookworm eradication led to a significant increase in school attendance and literacy. The present study shows that this increase in human capital was accompanied by a fertility decrease that was both economically and statistically significant. A decline in the hookworm infection rate from 40 to 20% is associated with a decline in fertility that amounts to 40% of the entire fertility decline in the American South between 1910 and 1920. These results can be used to test a number of theoretical models on the interaction of fertility and human capital investments in growth. It provides broad support for non-linear budget sets in the number and quality of children as first analyzed by Becker-Lewis (1973). It also strengthens the empirical support for the emerging literature (e.g. Becker, Murphy and Tamura (1990), Doepke (2002) and Soares (2002)) linking human capital investment and fertility in models of economic growth and demographic transitions. The evidence presented here rejects the Barro-Becker (1988) formulation with a single dynastic budget set.

Suggested Citation

  • Fabian Lange & Hoyt Bleakley, 2004. "The Impact of Chronic Disease Burden on Education, Fertility and Economic Growth – Evidence from the American South," Econometric Society 2004 North American Winter Meetings 513, Econometric Society.
  • Handle: RePEc:ecm:nawm04:513
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Kristensen, Dennis & Shin, Yongseok, 2012. "Estimation of dynamic models with nonparametric simulated maximum likelihood," Journal of Econometrics, Elsevier, vol. 167(1), pages 76-94.
    2. Kaplan, David M. & Sun, Yixiao, 2017. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," Econometric Theory, Cambridge University Press, pages 105-157.
    3. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    4. Fermanian, Jean-David & Salani , Bernard, 2004. "A Nonparametric Simulated Maximum Likelihood Estimation Method," Econometric Theory, Cambridge University Press, vol. 20(04), pages 701-734, August.
    5. Lee, Lung-Fei, 1997. "Simulated maximum likelihood estimation of dynamic discrete choice statistical models some Monte Carlo results," Journal of Econometrics, Elsevier, vol. 82(1), pages 1-35.
    6. Meghan M. Skira, 2015. "Dynamic Wage And Employment Effects Of Elder Parent Care," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 63-93, February.
    7. Italo Lopez Garcia, 2015. "Human Capital and Labor Informality in Chile A Life-Cycle Approach," Working Papers 1087, RAND Corporation.
    8. McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
    9. Manski, Charles F., 1985. "Semiparametric analysis of discrete response : Asymptotic properties of the maximum score estimator," Journal of Econometrics, Elsevier, vol. 27(3), pages 313-333, March.
    10. Chernozhukov, Victor & Hong, Han, 2003. "An MCMC approach to classical estimation," Journal of Econometrics, Elsevier, vol. 115(2), pages 293-346, August.
    11. Cristina Lopez-Mayan, 2014. "Microeconometric Analysis of Residential Water Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(1), pages 137-166, September.
    12. Magnac, Thierry & Robin, Jean-Marc & Visser, Michael, 1995. "Analysing Incomplete Individual Employment Histories Using Indirect Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., pages 153-169.
    13. Horowitz, Joel L, 1992. "A Smoothed Maximum Score Estimator for the Binary Response Model," Econometrica, Econometric Society, vol. 60(3), pages 505-531, May.
    14. Tong Li & Bingyu Zhang, 2015. "Affiliation and Entry in First-Price Auctions with Heterogeneous Bidders: An Analysis of Merger Effects," American Economic Journal: Microeconomics, American Economic Association, vol. 7(2), pages 188-214, May.
    15. Otsu, Taisuke, 2008. "Conditional empirical likelihood estimation and inference for quantile regression models," Journal of Econometrics, Elsevier, vol. 142(1), pages 508-538, January.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Fertility; Development; Education; Disease Burden;

    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

    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:ecm:nawm04:513. 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: (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/essssea.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.

    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.