G2TT
来源类型Discussion paper
规范类型论文
来源IDDP10455
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
URLhttps://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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