事件(粒子物理)
计算机科学
价值(数学)
考试(生物学)
事件研究
计量经济学
事件数据
计量经济模型
数据科学
管理科学
经济
机器学习
背景(考古学)
历史
分析
生物
古生物学
物理
考古
量子力学
摘要
The event study model is a powerful econometric tool used for the purpose of estimating dynamic treatment effects. One of its most appealing features is that it provides a built-in graphical summary of results, which can reveal rich patterns of behavior. Another value of the picture is the estimated pre-event pseudo-“effects,” which provide a type of placebo test. In this essay I aim to provide a framework for a shared understanding of these models. There are several (sometimes subtle) decisions and choices faced by users of these models, and I offer guidance for these decisions.
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