| 来源类型 | Working Paper
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| 规范类型 | 报告
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| DOI | 10.3386/w25307
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| 来源ID | Working Paper 25307
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| Treatment Effects with Multiple Outcomes |
| John Mullahy
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| 发表日期 | 2018-12-03
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| 出版年 | 2018
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| 语种 | 英语
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| 摘要 | This paper proposes strategies for defining, identifying, and estimating features of treatment-effect distributions in contexts where multiple outcomes are of interest. After describing existing empirical approaches used in such settings, the paper develops a notion of treatment preference that is shown to be a feature of standard treatment-effect analysis in the single-outcome case. Focusing largely on binary outcomes, treatment-preference probability treatment effects (PTEs) are defined and are seen to correspond to familiar average treatment effects in the single-outcome case. The paper suggests seven possible characterizations of treatment preference appropriate to multiple-outcome contexts. Under standard assumptions about unconfoundedness of treatment assignment, the PTEs are shown to be point identified for three of the seven characterizations and set identified for the other four. Probability bounds are derived and empirical approaches to estimating the bounds—or the PTEs themselves in the point-identified cases—are suggested. These empirical approaches are straightforward, involving in most instances little more than estimation of binary-outcome probability models of what are commonly known as composite outcomes. The results are illustrated with simulated data and in analyses of two microdata samples. Finally, the main results are extended to situations where the component outcomes are ordered or categorical. |
| 主题 | Econometrics
; Estimation Methods
; Microeconomics
; Health, Education, and Welfare
; Health
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| URL | https://www.nber.org/papers/w25307
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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/582981
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推荐引用方式
GB/T 7714 |
John Mullahy. Treatment Effects with Multiple Outcomes. 2018.
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文件名：
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w25307.pdf
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格式：
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Adobe PDF
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