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来源类型Working Paper
规范类型报告
DOI10.3386/w19614
来源IDWorking Paper 19614
Why ask Why? Forward Causal Inference and Reverse Causal Questions
Andrew Gelman; Guido Imbens
发表日期2013-11-07
出版年2013
语种英语
摘要The statistical and econometrics literature on causality is more focused on "effects of causes" than on "causes of effects." That is, in the standard approach it is natural to study the effect of a treatment, but it is not in general possible to define the causes of any particular outcome. This has led some researchers to dismiss the search for causes as "cocktail party chatter" that is outside the realm of science. We argue here that the search for causes can be understood within traditional statistical frameworks as a part of model checking and hypothesis generation. We argue that it can make sense to ask questions about the causes of effects, but the answers to these questions will be in terms of effects of causes.
主题Econometrics
URLhttps://www.nber.org/papers/w19614
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/577289
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GB/T 7714
Andrew Gelman,Guido Imbens. Why ask Why? Forward Causal Inference and Reverse Causal Questions. 2013.
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