University of Dundee, Economic Studies, 3 Perth Road, Dundee DD1 4HN, United Kingdom.
J Health Econ. 2013 Sep;32(5):922-37. doi: 10.1016/j.jhealeco.2013.07.001. Epub 2013 Jul 24.
The usual starting point for understanding changes in income-related health inequality (IRHI) over time has been regression-based decomposition procedures for the health concentration index. However the reliance on repeated cross-sectional analysis for this purpose prevents both the appropriate specification of the health function as a dynamic model and the identification of important determinants of the transition processes underlying IRHI changes such as those relating to mortality. This paper overcomes these limitations by developing alternative longitudinal procedures to analyse the role of health determinants in driving changes in IRHI through both morbidity changes and mortality, with our dynamic modelling framework also serving to identify their contribution to long-run or structural IRHI. The approach is illustrated by an empirical analysis of the causes of the increase in IRHI in Great Britain between 1999 and 2004.
理解收入相关健康不平等（IRHI）随时间变化的通常起点是基于回归的健康集中指数分解程序。然而，出于此目的而依赖重复的横截面分析既阻止了健康函数作为动态模型的适当规范，也阻止了识别 IRHI 变化背后的重要决定因素，例如与死亡率相关的决定因素。本文通过开发替代的纵向程序来克服这些限制，通过发病率变化和死亡率来分析健康决定因素在推动 IRHI 变化中的作用，我们的动态建模框架也可用于确定它们对长期或结构性 IRHI 的贡献。该方法通过对 1999 年至 2004 年英国 IRHI 增加原因的实证分析进行说明。
