McNamee Paul
School of Population and Health Sciences, University of Newcastle, UK.
Health Econ. 2004 Apr;13(4):379-95. doi: 10.1002/hec.833.
An important focus in empirical econometric studies of health care concerns estimation of the relationship with health. This paper describes a non-parametric technique, the grade of membership (GoM) procedure, which is used to construct summary indicators of health. Health status is also assessed using three alternative measures commonly employed in the literature: an index of problems of activities of daily living (ADL), an index of health conditions and overall self-rated health. Using data from a sample of frail older people, the relationship between costs and different measures of health are estimated using ordinary least squares (OLS) and instrumental variables (IV) methods. The results show that health influences costs more strongly than other variables, an effect which persists after controlling for potential endogeneity. It is shown that health can be usefully classified using GoM techniques. An alternative measure, based on an index of ADL, also performs well. Measures based on overall self-assessed health and the number of health conditions present were less satisfactory. Although health indicators derived from GoM techniques may be more theoretically attractive, in terms of capturing more fully the multidimensional nature of health, simpler alternatives such as those based on ADL indices may offer practical computational advantages.
医疗保健实证计量经济学研究的一个重要重点是估计与健康的关系。本文描述了一种非参数技术,即隶属度(GoM)程序,它用于构建健康的综合指标。健康状况还使用文献中常用的三种替代指标进行评估:日常生活活动(ADL)问题指数、健康状况指数和总体自评健康。利用来自体弱老年人样本的数据,使用普通最小二乘法(OLS)和工具变量(IV)方法估计成本与不同健康指标之间的关系。结果表明,健康对成本的影响比其他变量更强,在控制潜在内生性后,这种影响仍然存在。研究表明,使用GoM技术可以有效地对健康进行分类。基于ADL指数的替代指标也表现良好。基于总体自我评估健康和现有健康状况数量的指标不太令人满意。尽管从GoM技术得出的健康指标在理论上可能更具吸引力,因为它能更全面地捕捉健康的多维性质,但诸如基于ADL指数的更简单替代指标可能具有实际计算优势。