Repeated Nash implementation
研究了在完全信息和偏好变化的环境中重复实施社会选择函数，定义了动态单调性并证明它是重复纳什实施的必要且几乎充分的条件，无论时间范围有限或无限、贴现因子大小如何。
We study the repeated implementation of social choice functions in environments with complete information and changing preferences. We define dynamic monotonicity, a natural but non-trivial dynamic extension of Maskin monotonicity, and show that it is necessary and almost sufficient for repeated Nash implementation, regardless of whether the horizon is finite or infinite and whether the discount factor is “large” or “small.