Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing
动态条件分位数处理效应的评估及网约车应用AI 解读 ↓
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AI 根据所提供的论文材料归类：摘要明确研究分位数处理效应，并在时空依赖实验中区分直接与间接效应。
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动态条件分位数处理效应的评估及网约车应用
- 研究问题
- 在网约车平台的序贯决策和时空依赖实验中，如何评估条件分位数处理效应，并区分直接效应与间接效应？
- 方法与思路
- 作者定义基于处理无关特征的动态条件分位数效应，提出两种变系数决策过程模型及检验方法，并扩展到时空依赖实验。
- 材料陈述的贡献
- 摘要称在特定模型假设下，动态条件分位数效应可按时间相加，从而简化估计与推断，并以理论、模拟和三组平台数据说明。
- 阅读关注点
- 应重点核对效应可加性的模型条件、条件特征的处理无关性，以及直接和间接效应在时空依赖下如何定义与识别。
- 阅读边界
- 依据arXiv 2305.10187v1预印本摘要，不能据此声称已同行评审或期刊接收；具体假设和数值结果未提供，也不能推断刊本变化。
原文摘要
Many modern tech companies, such as Google, Uber, and Didi, utilize online experiments (also known as A/B testing) to evaluate new policies against existing ones. While most studies concentrate on average treatment effects, situations with skewed and heavy-tailed outcome distributions may benefit from alternative criteria, such as quantiles. However, assessing dynamic quantile treatment effects (QTE) remains a challenge, particularly when dealing with data from ride-sourcing platforms that involve sequential decision-making across time and space. In this paper, we establish a formal framework to calculate QTE conditional on characteristics independent of the treatment. Under specific model assumptions, we demonstrate that the dynamic conditional QTE (CQTE) equals the sum of individual CQTEs across time, even though the conditional quantile of cumulative rewards may not necessarily equate to the sum of conditional quantiles of individual rewards. This crucial insight significantly streamlines the estimation and inference processes for our target causal estimand. We then introduce two varying coefficient decision process (VCDP) models and devise an innovative method to test the dynamic CQTE. Moreover, we expand our approach to accommodate data from spatiotemporal dependent experiments and examine both conditional quantile direct and indirect effects. To showcase the practical utility of our method, we apply it to three real-world datasets from a ride-sourcing platform. Theoretical findings and comprehensive simulation studies further substantiate our proposal.