Testing for an economic gradient in health status using subjective data
提出一种估计方法，通过分离自评健康中可由客观健康指标解释的部分，并考虑比当前收入更广泛的经济福利维度，来减少偏差。应用于俄罗斯调查数据后，发现了原始数据中不明显的非线性经济梯度，主要归因于年龄、教育和地理位置的影响。
Can self-assessments of health reveal the true health differentials between 'rich' and 'poor'? The potential sources of bias include psychological adaptation to ill-health, socioeconomic covariates of health reporting errors and income measurement errors. We propose an estimation method to reduce the bias by isolating the component of self-assessed health that is explicable in terms of objective health indicators and allowing for broader dimensions of economic welfare than captured by current incomes. On applying our method to survey data for Russia we find a pronounced (nonlinear) economic gradient in health status that is not evident in the raw data. This is largely attributable to the health effects of age, education and location.