| 来源类型 | Working Paper
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| 规范类型 | 报告
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| DOI | 10.3386/w23603
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| 来源ID | Working Paper 23603
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| Individual Results May Vary: Elementary Analytics of Inequality-Probability Bounds, with Applications to Health-Outcome Treatment Effects |
| John Mullahy
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| 发表日期 | 2017-07-24
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| 出版年 | 2017
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| 语种 | 英语
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| 摘要 | While many results from the treatment-effect and related literatures are familiar and have been applied productively in health economics evaluations, other potentially useful results from those literatures have had little influence on health economics practice. With the intent of demonstrating the value and use of some such results in health economics applications, this paper focuses on one particular class of parameters that describe probabilities that one outcome is larger or smaller than other outcomes, namely inequality probabilities. While the properties of such parameters have been explored in the technical literature, they have scarcely been considered in informing practical questions in health evaluations. This paper discusses how such probabilities can be used informatively, and describes how they might be identified or bounded given standard sampling assumptions and information only on marginal distributions of outcomes. Graphical and algebraic exposition reveals the logic supporting these results, as well as their empirical implementation, to be quite straightforward. Applications to health outcome evaluations are presented and discussed throughout. |
| 主题 | Health, Education, and Welfare
; Health
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| URL | https://www.nber.org/papers/w23603
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| 来源智库 | National Bureau of Economic Research (United States)
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| 引用统计 |
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/581277
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推荐引用方式
GB/T 7714 |
John Mullahy. Individual Results May Vary: Elementary Analytics of Inequality-Probability Bounds, with Applications to Health-Outcome Treatment Effects. 2017.
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文件名：
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w23603.pdf
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格式：
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Adobe PDF
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