4 papers
Improving on a Lottery: Efficient Estimation of Optimal Assignment Rules
Yue Fang, Geert Ridder, Haitian Xie
Scarce opportunities are often allocated by lotteries. We study how to improve such allocations by estimating optimal assignment rules that maximize welfare net of a Kullback--Leib…
The Exact Variance of the Average Treatment Effect Estimator in Cluster Randomized Controlled Trials
Yue Fang, Geert Ridder
In cluster randomized controlled trials (CRCT) with a finite populations, the exact design-based variance of the Horvitz-Thompson (HT) estimator for the average treatment effect (A…
Data-Driven Policy Learning for Continuous Treatments
Chunrong Ai, Yue Fang, Haitian Xie
This paper studies policy learning for continuous treatments from observational data. Continuous treatments present more significant challenges than discrete ones because populatio…
Design-based causal inference in bipartite experiments
Sizhu Lu, Lei Shi, Yue Fang +2
Bipartite experiments arise in various fields, in which the treatments are randomized over one set of units, while the outcomes are measured over another separate set of units. How…