The Quantity and Quality of Life and the Evolution of World Inequality

Am Econ Rev. 2005 Mar;95(1):277-91. doi: 10.1257/0002828053828563.

Abstract

GDP per capita is usually used to proxy for the quality of life of individuals living in different countries. Welfare is also affected by quantity of life, however, as represented by longevity. This paper incorporates longevity into an overall assessment of the evolution of cross-country inequality and shows that it is quantitatively important. The absence of reduction in cross-country inequality up to the 1990s documented in previous work is in stark contrast to the reduction in inequality after incorporating gains in longevity. Throughout the post–World War II period, health contributed to reduce significantly welfare inequality across countries. This paper derives valuation formulas for infra-marginal changes in longevity and computes a "full" growth rate that incorporates the gains in health experienced by 96 countries for the period between 1960 and 2000. Incorporating longevity gains changes traditional results; countries starting with lower income tended to grow faster than countries starting with higher income. We estimate an average yearly growth in "full income" of 4.1 percent for the poorest 50 percent of countries in 1960, of which 1.7 percentage points are due to health, as opposed to a growth of 2.6 percent for the richest 50 percent of countries, of which only 0.4 percentage points are due to health. Additionally, we decompose changes in life expectancy into changes attributable to 13 broad groups of causes of death and three age groups. We show that mortality from infectious, respiratory, and digestive diseases, congenital, perinatal, and “ill-defined” conditions, mostly concentrated before age 20 and between ages 20 and 50, is responsible for most of the reduction in life expectancy inequality. At the same time, the recent effect of AIDS, together with reductions in mortality after age 50--due to nervous system, senses organs, heart and circulatory diseases--contributed to increase health inequality across countries.

MeSH terms

  • Global Health / statistics & numerical data*
  • Global Health / trends*
  • Gross Domestic Product / statistics & numerical data
  • Health Status Disparities*
  • Humans
  • Income
  • Life Expectancy / trends*
  • Quality of Life*