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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w26011 |
来源ID | Working Paper 26011 |
Identification of a Class of Health-Outcome Distributions under a Common Form of Partial Data Observability | |
John Mullahy | |
发表日期 | 2019-07-01 |
出版年 | 2019 |
语种 | 英语 |
摘要 | This paper suggests analytical strategies for obtaining informative parameter bounds when multivariate health-outcome data are partially observed in a particular yet common manner. One familiar context is where M>1 health outcomes' respective totals across N>1 time periods are observed but where questions of interest involve features—probabilities, moments, etc.—of their unobserved joint distribution at each of the N time periods. For instance, one might wish to understand the distribution of any type of unhealthy day experienced over a month but have access only to the separate totals of physically unhealthy and mentally unhealthy days that are experienced. After demonstrating methods to bound, or partially identify, such distributions and related parameters under several sampling assumptions, the paper proceeds to derive bounds on partial effects involving exogenous covariates. These results are applied in three empirical exercises. Whether the proposed bounds prove to be sufficiently narrow to usefully inform decisionmakers can only be determined in context, although it is suggested in the paper's conclusion that the issues considered in this paper are likely to become increasingly important for analysts. |
主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Health |
URL | https://www.nber.org/papers/w26011 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/583685 |
推荐引用方式 GB/T 7714 | John Mullahy. Identification of a Class of Health-Outcome Distributions under a Common Form of Partial Data Observability. 2019. |
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文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w26011.pdf(719KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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