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来源类型 | Publication |
Identification based on Difference-in-Differences Approaches with Multiple Treatments | |
Hans Fricke | |
发表日期 | 2017 |
出版者 | Oxford Bulletin of Economics and Statistics |
出版年 | 2017 |
语种 | 英语 |
摘要 | This paper discusses identification based on difference-in-differences (DiD) approaches with multiple treatments. It shows that an appropriate adaptation of the common trend assumption underlying the DiD strategy for the comparison of two treatments restricts the possibility of effect heterogeneity for at least one of the treatments. The required assumption of effect homogeneity is likely to be violated because of non-random assignment to treatment based on both observables and unobservables. However, this paper shows that, under certain conditions, the DiD estimate comparing two treatments identifies a lower bound in absolute values on the average treatment effect on the treated compared to the unobserved non-treatment state, even if effect homogeneity is violated. This is possible if the treatments have ordered treatment effects, that is, in expectation, the effects of both treatments compared to no treatment have the same sign, and one treatment has a stronger effect than the other treatment on the respective recipients. Such assumptions are plausible if treatments are ordered or vary in intensity. |
主题 | Other |
子主题 | Methodology and Measurement |
URL | https://cepa.stanford.edu/content/identification-based-difference-differences-approaches-multiple-treatments |
来源智库 | Center for Education Policy Analysis (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/491779 |
推荐引用方式 GB/T 7714 | Hans Fricke. Identification based on Difference-in-Differences Approaches with Multiple Treatments. 2017. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
DiD_HF2015.pdf(335KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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