Inferring disability status from corrupt data
针对自报残疾数据可靠性问题，本文发展非参数边界框架，研究不同报告误差假设下工作残疾流行率的可推断性，发现推断对假设高度敏感，主观与客观功能限制指标测量健康的不同方面。
Abstract In light of widespread concerns about the reliability of self‐reported disability, we investigate what can be learned about the prevalence of work disability under various assumptions on the reporting error process. Developing a nonparametric bounding framework, we provide tight inferences under our strongest assumptions but then find that identification deteriorates rapidly as the assumptions are relaxed. For example, we find that inferences are highly sensitive to how one models potential inconsistencies between subjective self‐assessments of work limitation and more objective measures of functional limitation. These two indicators appear to measure markedly different aspects of health status. Copyright © 2008 John Wiley & Sons, Ltd.