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来源类型 | Discussion paper |
规范类型 | 论文 |
来源ID | DP10455 |
DP10455 Natural Experiment Policy Evaluation: A Critique | |
Ilya Strebulaev; Christopher Hennessy | |
发表日期 | 2015-03-01 |
出版年 | 2015 |
语种 | 英语 |
摘要 | We argue exogenous random treatment is insufficient for valid inference regarding the sign and magnitude of causal effects in dynamic environments. In such settings, treatment responses must be understood as contingent upon the typically unmodeled policy generating process. With binary assignment, this results in quantitatively significant attenuation bias. With more than two policy states, treatment responses can be biased downward, upward, or have the wrong sign. Further, it is not only generally invalid to extrapolate elasticities across policy processes, as argued by Lucas (1976), but also to extrapolate within the same policy process. We derive auxiliary assumptions beyond exogeneity for valid inference in dynamic settings. If all possible policy transitions are rare events, treatment responses approximate causal effects. However, reliance on rare events is overly-restrictive as the necessary and sufficient conditions for equality of treatment responses and causal effects is that policy variable changes have mean zero. If these conditions are not met, we show how treatment responses can nevertheless be corrected and mapped back to causal effects or extrapolated to forecast responses to future policy changes. |
主题 | Financial Economics |
关键词 | Natural experiments Policy evaluations Dynamic environments Random treatment Causal effects |
URL | https://cepr.org/publications/dp10455 |
来源智库 | Centre for Economic Policy Research (United Kingdom) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/539287 |
推荐引用方式 GB/T 7714 | Ilya Strebulaev,Christopher Hennessy. DP10455 Natural Experiment Policy Evaluation: A Critique. 2015. |
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