A general method for decomposing the causes of socioeconomic inequality in health
提出一种基于再中心化影响函数回归的通用分解方法，适用于所有双变量秩依赖的健康社会经济不平等指数，仅需OLS即可估计，且假设条件较少。利用瑞典双胞胎登记数据，发现教育对收入相关健康不平等无因果效应。
We introduce a general decomposition method applicable to all forms of bivariate rank dependent indices of socioeconomic inequality in health, including the concentration index. The technique is based on recentered influence function regression and requires only the application of OLS to a transformed variable with similar interpretation. Our method requires few identifying assumptions to yield valid estimates in most common empirical applications, unlike current methods favoured in the literature. Using the Swedish Twin Registry and a within twin pair fixed effects identification strategy, our new method finds no evidence of a causal effect of education on income-related health inequality.