Incentives in Experiments: A Theoretical Analysis
为实验经济学中多任务场景下的支付方式提供理论框架，证明随机问题选择机制是唯一激励相容的方案，并讨论如何通过实证检验选择合适机制。
Experimental economists currently lack a convention for how to pay subjects in experiments with multiple tasks. We provide a theoretical framework for analyzing this question. Assuming statewise monotonicity and nothing else, we prove that paying for one randomly chosen problem--the random problem selection mechanism--is essentially the only incentive compatible mechanism. Paying for every period is similarly justified when we assume only a "no complementarities at the top" condition. To help experimenters decide which is appropriate for their particular experiment, we discuss empirical tests of these two assumptions.