方法证据记录
Bayesian Event Study Design
Bayesian Event Study Design extends the classical event study framework by replacing frequentist significance testing with a full Bayesian inferential framework. It estimates how an event (policy change, announcement, shock) alters an outcome trajectory by learning a prior model from the estimation window and updating it with observed data, yielding posterior distributions over abnormal effects and cumulative causal impacts with full uncertainty quantification.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Event Study Design for Causal Inference
分类方法记录 · regression-model / causal-inference
- Sorescu, A., Warren, N. L., & Ertekin, L. (2017). Event study methodology in the marketing literature: An overview. Journal of the Academy of Marketing Science, 45(2), 186-207. · DOI 10.1007/s11747-017-0516-y
- Glassman, M., & McAfee, R. B. (1996). Bayesian estimation of abnormal stock returns. Journal of Business & Economic Statistics, 10(3), 321-332. · URL
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。