Advanced Search
MyIDEAS: Login

The effect of female and male health on economic growth: cross-country evidence within a production function framework

Contents:

Author Info

  • Hassan, Gazi
  • Cooray, Arusha

Abstract

It is widely believed by development economists that the role of human capital is one of the most fundamental determinants of economic growth. Sustained growth depends on the level of human capital whose stocks increase due to better education, higher levels of health, new learning and training procedure. The intuition that good health raises the level of human capital and has a positive effect on productivity and economic growth has been modelled by enodogenous growth theorists. But empirically ascertaining the causal relationship between health and growth is more difficult due to the possible existence of endogeneity between these two variables. We use a production function based approach and model the role of health as a regular factor of production. Additionally, we depart from all the previous literature by estimating the gender disaggregated effect of human health on economic growth. We adopt a constant return to scale production function that fits the data in the microeconometric literature on return to human capital. Using this particular production function, we disaggregate the measures of human capital by including male and female life expectancy and school enrolments. Allowing for the dynamics of TFP to be embedded in the production function we empirically test it in growth form using various estimators appropriate for our data. Our main finding is that male life expectancy has a positive effect on the growth of income while female life expectancy has a negative effect, controlling for unobserved time and country effects in a panel of 83 countries from 1960 - 2009. We use lag differences of life expectancy and school enrolments and lagged growth rates of other inputs as instruments for controlling the endogenity of health in the growth regressions. We check for the robustness of the results with use of ‘deletion diagnostics’ to identify influential observations and outliers. The results continue to show that male life expectancy has a positive effect on income growth while that of female has a negative effect.

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://mpra.ub.uni-muenchen.de/40083/
File Function: original version
Download Restriction: no

Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 40083.

as in new window
Length:
Date of creation: 01 Feb 2012
Date of revision:
Handle: RePEc:pra:mprapa:40083

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: http://mpra.ub.uni-muenchen.de
More information through EDIRC

Related research

Keywords: Health and economic development; economic growth; endogeneity; panel data; TFP; convergence; economics of gender;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

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. David E. Bloom & David Canning & Pia N. Malaney, 1999. "Demographic Change and Economic Growth in Asia," CID Working Papers 15, Center for International Development at Harvard University.
  2. David E. Bloom & Jeffrey G. Williamson, 1997. "Demographic Transitions and Economic Miracles in Emerging Asia," NBER Working Papers 6268, National Bureau of Economic Research, Inc.
  3. R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
  4. Bloom, David E. & Canning, David & Fink, Günther, 2013. "Disease and Development Revisited," IZA Discussion Papers 7391, Institute for the Study of Labor (IZA).
  5. Robert J. Barro, 2012. "Inflation and Economic Growth," CEMA Working Papers 568, China Economics and Management Academy, Central University of Finance and Economics.
  6. Caselli, Francesco & Esquivel, Gerardo & Lefort, Fernando, 1996. " Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics," Journal of Economic Growth, Springer, vol. 1(3), pages 363-89, September.
  7. McDonald, Scott & Roberts, Jennifer, 2002. "Growth and multiple forms of human capital in an augmented Solow model: a panel data investigation," Economics Letters, Elsevier, vol. 74(2), pages 271-276, January.
  8. Amemiya, Takeshi, 1971. "The Estimation of the Variances in a Variance-Components Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 12(1), pages 1-13, February.
  9. David E. Bloom & David Canning & Jaypee Sevilla, 2001. "The Effect of Health on Economic Growth: Theory and Evidence," NBER Working Papers 8587, National Bureau of Economic Research, Inc.
  10. Knowles, Stephen & Owen, P. Dorian, 1995. "Health capital and cross-country variation in income per capita in the Mankiw-Romer-Weil model," Economics Letters, Elsevier, vol. 48(1), pages 99-106, April.
  11. Barry P. Bosworth & Susan M. Collins, 2003. "The Empirics of Growth: An Update," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 113-206.
  12. Bhargava, Alok & Jamison, Dean T. & Lau, Lawrence J. & Murray, Christopher J. L., 2001. "Modeling the effects of health on economic growth," Journal of Health Economics, Elsevier, vol. 20(3), pages 423-440, May.
  13. Daron Acemoglu & Simon Johnson, 2006. "Disease and Development: The Effect of Life Expectancy on Economic Growth," NBER Working Papers 12269, National Bureau of Economic Research, Inc.
  14. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
  15. Philippe Aghion & Peter Howitt & Fabrice Murtin, 2009. "The relationship between health and growth:when Lucas meets Nelson-Phelps," Documents de Travail de l'OFCE 2009-28, Observatoire Francais des Conjonctures Economiques (OFCE).
  16. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(06), pages 814-823, December.
  17. David Roodman, 2007. "A Note on the Theme of Too Many Instruments," Working Papers 125, Center for Global Development.
  18. David E. BLOOM & Jocelyn E. FINLAY, 2009. "Demographic Change and Economic Growth in Asia," Asian Economic Policy Review, Japan Center for Economic Research, vol. 4(1), pages 45-64.
  19. Philippe Aghion, 2010. "The relationship between health and growth: when Lucas meets Nelson-Phelps," Working Papers 434, Bruegel.
  20. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
Full references (including those not matched with items on IDEAS)

Citations

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:pra:mprapa:40083. 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.