THE 2009 LAWRENCE R. KLEIN LECTURE: DIVERSIFIED TREATMENT UNDER AMBIGUITY*
通过研究最小化最大遗憾决策准则，论证了规划者可通过将相同个体分配到不同处理方案来应对模糊性，并扩展了非线性福利函数、交互处理等复杂情境下的分析。
This article develops a broad theme about treatment under ambiguity through study of a particular decision criterion. The broad theme is that a planner may want to cope with ambiguity by diversification, assigning observationally identical persons to different treatments. Study of the minimax‐regret (MR) criterion substantiates the theme. The article significantly extends my earlier analysis of one‐period planning with an individualistic treatment and a linear welfare function. I show that MR treatment allocations are fractional in a large class of planning problems with nonlinear welfare functions, interacting treatments, learning, and noncooperative aspects.