A number of studies have attempted to account for cross-national differences in life expectancy, but relatively few have focused on female life expectancy, and even fewer on the relevance of predictors linked to gender stratification theory.
The present study seeks to assess the utility of gender stratification theory in accounting for cross-national differences in female life expectancy in less developed countries.
An incremental model building strategy is used to develop a final model that combines predictors linked to both industrialism theory and gender stratification theory.
The analysis is based on multiple regression and cross-sectional samples that vary in size from 40 to 97 countries.
Evidence is presented that several aspects of women's status have a positive effect on female life expectancy.
Indicators of women's educational status, women's economic status, and women's reproductive autonomy all prove to be important predictors of female life expectancy.
Analysis of interaction effects suggests that the strength of the effects of some aspects of women's economic status and the effect of some aspects of health status on female life expectancy vary with the level of economic development.
A comprehensive assessment of the relative strength of alternative measures of women's education is carried out, and evidence is presented that it does make a difference how the level of women's education is measured.
Mots-clés Pascal : Femme, Homme, Sexe, Santé, Niveau étude, Statut socioéconomique, Facteur prédictif, Mortalité, Pays en développement, Espérance vie
Mots-clés Pascal anglais : Woman, Human, Sex, Health, Education level, Socioeconomic status, Predictive factor, Mortality, Developing countries
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0364475
Code Inist : 002B30A01A2. Création : 12/09/1997.