Modelling health: Reporting behaviour and misclassification using survey data

健康建模：使用调查数据报告行为和错误分类

• 批准号: DP140100748
• 负责人: Prof Mark Harris
• 金额: $ 24.49万
• 依托单位: Curtin University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-11-04 至 2019-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140100748
• 关键词: Modelling; health; Reporting; behaviour; misclassification

Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for misinformation is high, the overall quality of results will be enhanced. This research will be submitted to highly ranked health economics and econometrics journals to be made available to relevant policymakers intent on ensuring a healthy society.

卫生经济学家使用基于大规模调查数据集的经验模型为决策者提供信息。然而，在敏感主题的情况下，调查误报的可能性可能导致对异常行为的不准确估计。迄今为止，对不准确报告的程度和后果进行分析的工作很少，特别是在卫生经济学领域。通过处理可能出现错误信息的领域，将提高成果的总体质量。这项研究将提交给排名靠前的卫生经济学和计量经济学期刊，以便提供给旨在确保健康社会的相关政策制定者。