Measuring the biases in self-reported disability status: evidence from aggregate data
Measuring the biases in self-reported disability status: evidence from aggregate data
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DOI：
10.1080/13504851.2010.524603
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发表时间：
2011-07-01
影响因子：
1.6
通讯作者：
Stern, Steven
中科院分区：
文献类型：
--
作者：
Akashi-Ronquest, Naoko;Carrillo, Paul;Stern, Steven
自我报告的健康状况指标通常用于分析社会保障残疾保险（SSDI）的申请和奖励决定以及其慷慨程度与劳动力参与之间的关系。由于内生性和测量误差，使用自我报告的健康和残疾指标作为经济模型的解释变量是有问题的。我们采用县级汇总数据、工具变量和空间计量经济学技术来分析 SSDI 比率变化的决定因素，并明确解释自我报告残疾指标的内生性和测量误差。发现了两个令人惊讶的结果。首先，表明测量误差是偏差的主要来源，并且测量误差的主要来源是采样误差。其次，结果表明，当残疾人人口较多时，申请 SSDI 可能会产生协同效应。
Self-reported health status measures are generally used to analyse Social Security Disability Insurance's (SSDI) application and award decisions as well as the relationship between its generosity and labour force participation. Due to endogeneity and measurement error, the use of self-reported health and disability indicators as explanatory variables in economic models is problematic. We employ county-level aggregate data, instrumental variables and spatial econometric techniques to analyse the determinants of variation in SSDI rates and explicitly account for the endogeneity and measurement error of the self-reported disability measure. Two surprising results are found. First, it is shown that measurement error is the dominating source of the bias and that the main source of measurement error is sampling error. Second, results suggest that there may be synergies for applying for SSDI when the disabled population is larger.