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The Global Joint Distribution of Income and Health

  • Ximing Wu

    ()

    (Texas A&M University, Department of Agricultural Economics.)

  • Andreas Savvides

    ()

    (Oklahoma State University; Department of Economics)

  • Thanasis Stengos

    ()

    (University of Guelph; Department of Economics.)

We investigate the evolution of global welfare in two dimensions: income per capita and life expectancy. First, we estimate the marginal distributions of income and life expectancy separately. More importantly, in contrast to previous univariate approaches,we consider income and life expectancy jointly and estimate their bivariate global distribution for 137 countries during 1970 - 2000. We reach several conclusions: the global joint distribution has evolved from a bimodal into a unimodal one, the evolution of the health distribution has preceded that of income, global inequality and poverty has decreased over time and the evolution of the global distribution has been welfare improving. Our decomposition of overall welfare indicates that global inequality would be underestimated if within-country inequality is not taken into account. Moreover, global inequality and poverty would be substantially underestimated if the dependence between the income and health distributions is ignored.

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File URL: http://www.uoguelph.ca/economics/repec/workingpapers/2008/2008-07.pdf
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Paper provided by University of Guelph, Department of Economics and Finance in its series Working Papers with number 0807.

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Length: 39 pages
Date of creation: 2008
Date of revision:
Handle: RePEc:gue:guelph:2008-7
Contact details of provider: Postal: Guelph, Ontario, N1G 2W1
Phone: (519) 824-4120 ext. 53898
Fax: (519) 763-8497
Web page: https://www.uoguelph.ca/economics/

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  19. Wu, Ximing, 2003. "Calculation of maximum entropy densities with application to income distribution," Journal of Econometrics, Elsevier, vol. 115(2), pages 347-354, August.
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