论文标题
最佳政策学习：从理论到实践
Optimal Policy Learning: From Theory to Practice
论文作者
论文摘要
遵循有关经验福利最大化的文献的脚步，本文希望通过通过对最佳政策分配问题的实际说明来强调决策者的观点来做出贡献。更具体地说，通过关注基于阈值的策略类别，我们首先设置了决策者选择问题的理论基础，然后通过使用Pocuntical Lalonde（1986）培训计划数据集，通过经验说明为该问题提供了实用的解决方案。本文提出了一个最佳解决方案的实施协议，该协议可直接应用，并易于使用标准统计软件进行编程。
Following in the footsteps of the literature on empirical welfare maximization, this paper wants to contribute by stressing the policymaker perspective via a practical illustration of an optimal policy assignment problem. More specifically, by focusing on the class of threshold-based policies, we first set up the theoretical underpinnings of the policymaker selection problem, to then offer a practical solution to this problem via an empirical illustration using the popular LaLonde (1986) training program dataset. The paper proposes an implementation protocol for the optimal solution that is straightforward to apply and easy to program with standard statistical software.
