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贝叶斯面板事件研究

贝叶斯面板事件研究是一种因果推断设计,它使用面板数据估计可约会事件周围的动态处理效应,用贝叶斯后验推断取代经典的频率学派估计。它会逐期生成具有完整概率分布的效应估计值,从而实现原则性的不确定性量化、对嘈杂的趋势前系数进行正则化以及对平行趋势进行概率检验。

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来源

  1. Freyaldenhoven, S., Hansen, C., Shapiro, J. M., & Teso, E. (2021). Visualization, Identification, and Estimation in the Linear Panel Event-Study Design. NBER Working Paper No. 29170. National Bureau of Economic Research. link
  2. Jakiela, P. (2021). Simple Diagnostics for Two-Way Fixed Effects. Working Paper. Center for Global Development. link

如何引用本页

ScholarGate. (2026, June 3). Bayesian Panel Event Study Design. ScholarGate. https://scholargate.app/zh/causal-inference/bayesian-panel-event-study

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ScholarGateBayesian Panel Event Study (Bayesian Panel Event Study Design). 于 2026-06-15 检索自 https://scholargate.app/zh/causal-inference/bayesian-panel-event-study · 数据集: https://doi.org/10.5281/zenodo.20539026