title: Old-age pensions and population health: a global and cross-national perspective.
abstract: Social security schemes can reduce poverty risk and increase resources available for individuals and families, and these schemes may therefore have an important role to play in population health in both high- and middle-income countries. This article analyses the linkage between effective coverage of old-age pension schemes and life expectancy in a sample of 93 high- and middle-income countries at the end of the twenty-first century. The analyses support the notion that social security schemes, and especially programmes with a universal approach, may have positive effects on population health, even after taking into account the effect of levels of economic development, income inequality and essential characteristics of health care systems. This article also demonstrates that there is no evident relationship between levels of economic development and social security legislation: historically, late industrialisers were often first in introducing major social security schemes, and today there is no clear cross-national relationship between levels of economic development and the proportion of the population covered by old-age pension schemes.
authors: a Swedish Institute for Social Research , Stockholm University , Stockholm , Sweden.
authors: Ola
authors: O
authors: Sjöberg
mesh_terms: D003431:Cross-Cultural Comparison; D019049:Developed Countries / Q000191:economics / Q000706:statistics & numerical data; D003906:Developing Countries / Q000191:economics / Q000706:statistics & numerical data; D054624:Health Status Disparities; D006801:Humans; D019458:Insurance Coverage / Q000191:economics / Q000706:statistics & numerical data; D008017:Life Expectancy / Q000639:trends*; D010415:Pensions / Q000706:statistics & numerical data*; D011634:Public Health / Q000191:economics* / Q000706:statistics & numerical data; D012044:Regression Analysis; D012179:Retirement / Q000191:economics*; D012943:Social Security / Q000191:economics* / Q000706:statistics & numerical data