This paper examines the stability of impact evaluation results for refugee matching in the United States. Using various off-policy evaluation methods like inverse probability weighting (IPW) and augmented IPW (AIPW), the study demonstrates that impact estimates remain consistent in magnitude and statistically significant across different scenarios. The findings align with previous research on the topic, reinforcing the robustness of the refugee matching approach. AI
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IMPACT Niche tooling improvement; minimal industry-wide impact.
RANK_REASON Academic paper detailing a research methodology and findings. [lever_c_demoted from research: ic=1 ai=0.4]