8 papers
Dynamic Treatment on Networks
Bengusu Nar, Jiguang Li, Veronika RoÄková +1
In networks, effective dynamic treatment allocation requires deciding both whom to treat and also when, so as to amplify policy impact through spillovers. An early intervention at…
Randomization Inference in Two-Sided Market Experiments
Jizhou Liu, Azeem M. Shaikh, Panos Toulis
Randomized experiments are increasingly employed in two-sided markets, such as buyer--seller platforms, to evaluate the effects of marketplace interventions. These experiments must…
Permutation Inference under Multi-way Clustering and Missing Data
Wenxuan Guo, Panos Toulis, Yuhao Wang
Econometric applications with multi-way clustering often feature a small number of effective clusters or heavy-tailed data, making standard cluster-robust and bootstrap inference u…
Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion
Hwanwoo Kim, Panos Toulis, Eric Laber
Temporal difference (TD) learning is a foundational algorithm in reinforcement learning (RL). For nearly forty years, TD learning has served as a workhorse for applied RL as well a…
Finite-Sample Valid Randomization Tests for Monotone Spillover Effects
Shunzhuang Huang, Xinran Li, Panos Toulis
Randomization tests have gained popularity for causal inference under network interference because they are finite-sample valid with minimal assumptions. However, existing procedur…
Gaussianized Design Optimization for Covariate Balance in Randomized Experiments
Wenxuan Guo, Tengyuan Liang, Panos Toulis
Achieving covariate balance in randomized experiments enhances the precision of treatment effect estimation. However, existing methods often require heuristic adjustments based on…