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most citedA Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce

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econ.EM2026

Efficient difference-in-differences estimation under partial interference with incremental propensity score policies

Junjie Li, Yukitoshi Matsushita

This paper develops efficient difference-in-differences (DID) estimation under partial interference with a cluster incremental propensity score (CIPS) policy. We define direct and…