SEMIPARAMETRIC MODELING OF AGE‐SPECIFIC VARIATIONS IN INCOME RELATED HEALTH INEQUALITIES
将基尼型集中指数与半参数估计结合，提出无需先验分层的变不平等指数，利用2005年德国微观普查数据发现收入相关健康不平等在中年早期加剧，退休年龄前后达到峰值，老年后有所缓和。
A Gini-type concentration index is combined with semiparametric estimation techniques to derive a varying inequality index that works without a priori sample stratification. The new approach is used to investigate the question how income inequalities and income-related gradients in the distribution of health vary across age groups. With health data from the 2005 survey of the German microcensus, it is demonstrated that significant inequalities to the detriment of the deprived evolve in early mid-life and reach their maximum around the age for retirement. Some leveling is found for the elderly.